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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with ceiling fan blades. Conditions: Agent's state and static fan blades's status are available. Write a reward function in Python.
def reward(s_agent, s_blade, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_blade = calculate_distance_min(s_agent, s_blade) penalty_collision = -15 if (d_agent_blade < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_blade, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_blade = calculate_distance_min(s_agent, s_blade) penalty_collision = 15 if (d_agent_blade < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with chair. Conditions: Agent's state and chair's status are available. Write a reward function in Python.
def reward(s_agent, s_chair, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_chair = calculate_distance_min(s_agent, s_chair) penalty_collision = -15 if (d_agent_chair < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_chair, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_chair = calculate_distance_min(s_agent, s_chair) penalty_collision = 15 if (d_agent_chair < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with hanging lamps. Conditions: Agent's state and lamp's status are available. Write a reward function in Python.
def reward(s_agent, s_lamp, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_lamp = calculate_distance_min(s_agent, s_lamp) penalty_collision = -15 if (d_agent_lamp < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_lamp, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_lamp = calculate_distance_min(s_agent, s_lamp) penalty_collision = 15 if (d_agent_lamp < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with curtain. Conditions: Agent's state and static curtain's status available. Write a reward function in Python.
def reward(s_agent, s_curtain, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_curtain = calculate_distance_min(s_agent, s_curtain) penalty_collision = -15 if (d_agent_curtain < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + r...
def reward(s_agent, s_curtain, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_curtain = calculate_distance_min(s_agent, s_curtain) penalty_collision = 15 if (d_agent_curtain < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + r...
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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with obstacles. Conditions: Agent's state and obstacles's status are available. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with drapes. Conditions: Agent's state and drape's status are available. Write a reward function in Python.
def reward(s_agent, s_drape, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_drape = calculate_distance_min(s_agent, s_drape) penalty_collision = -15 if (d_agent_drape < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_drape, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_drape = calculate_distance_min(s_agent, s_drape) penalty_collision = 15 if (d_agent_drape < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in a room. Objectives: Avoid collision with static obstacle (wardrobe). Conditions: Agent's state, wardrobe's state are available. Write a reward function in Python.
def reward(s_agent, s_wardrobe, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wardrobe = calculate_distance_min(s_agent, s_wardrobe) penalty_collision = -15 if (d_agent_wardrobe < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision...
def reward(s_agent, s_wardrobe, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wardrobe = calculate_distance_min(s_agent, s_wardrobe) penalty_collision = 15 if (d_agent_wardrobe < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision...
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Mission: Drone in-door navigation and reach other side of the small room. Objectives: Do not collide with the walls of the room. Conditions: Agent's state, wall's information accessible. Write a reward function in Python.
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = -15 if (d_agent_wall < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = 15 if (d_agent_wall < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
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Mission: Guide the drone through an indoor space to the far side of a small room. Objectives: Prevent contact with the people. Conditions: Agent's state, people's state accessible. Write a reward function in Python.
def reward(s_agent, s_people, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_people = calculate_distance_min(s_agent, s_people) penalty_collision = -15 if (d_agent_people < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + rewar...
def reward(s_agent, s_people, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_people = calculate_distance_min(s_agent, s_people) penalty_collision = 15 if (d_agent_people < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + rewar...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with chairs and tables. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with fan blades and curtains. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with drapes and people. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with lamps and projectors. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with boxes and chairs. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Avoid collision with boxes and chairs. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with humans and chairs. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with humans, chairs and table. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with humans, projector and bench. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with people, boxes and bench. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Guide the drone through an indoor space such as a small room. Objectives: Prevent contact with shelf, plants and curtains. Conditions: Agent's state, obstacles' state accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid hitting the surrounding walls. Conditions: Agent's state, wall's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = -15 if (d_agent_wall < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = 15 if (d_agent_wall < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in a library. Objectives: Navigate without crashing into walls. Conditions: Agent's state, obstacle's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = -15 if (d_agent_wall < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = 15 if (d_agent_wall < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in a library. Objectives: Detect obstacle (chairs) and avoid collision. Conditions: Agent's state, chair's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_chair, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_chair = calculate_distance_min(s_agent, s_chair) penalty_collision = -15 if (d_agent_chair < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_chair, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_chair = calculate_distance_min(s_agent, s_chair) penalty_collision = 15 if (d_agent_chair < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in a library. Objectives: Detect obstacle (table) and avoid collision. Conditions: Agent's state, table's state are accessible. Write a reward function in Python.
def reward(s_agent, s_table, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_table_min = calculate_distance_min(s_agent, s_table) penalty_collision = -15 if (d_agent_table_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penalty_collision + r...
def reward(s_agent, s_table, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_table_min = calculate_distance_min(s_agent, s_table) penalty_collision = 15 if (d_agent_table_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penalty_collision + r...
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Mission: Drone indoor exploration in a library. Objectives: Detect bookshelves and avoid collision. Conditions: Agent's state, bookshelve's state are accessible. Write a reward function in Python.
def reward(s_agent, s_bookshelve, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_bookshelve = calculate_distance_min(s_agent, s_bookshelve) penalty_collision = -15 if (d_agent_bookshelve < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penalty_c...
def reward(s_agent, s_bookshelve, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_bookshelve = calculate_distance_min(s_agent, s_bookshelve) penalty_collision = 15 if (d_agent_bookshelve < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penalty_c...
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Mission: Drone indoor exploration in a library. Objectives: Detect smoke detectors and avoid collision. Conditions: Agent's state, smoke detector's state are accessible. Write a reward function in Python.
def reward(s_agent, s_smoke_detector, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_smoke_detectore = calculate_distance_min(s_agent, s_smoke_detector) penalty_collision = -15 if (d_agent_smoke_detector < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 ...
def reward(s_agent, s_smoke_detector, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_smoke_detector = calculate_distance_min(s_agent, s_smoke_detector) penalty_collision = 15 if (d_agent_smoke_detector < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 ...
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Mission: Drone indoor exploration in a library. Objectives: Detect obstacle (stacked books) and avoid collision. Conditions: Agent's state, book's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_book, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_book = calculate_distance_min(s_agent, s_book) penalty_collision = -15 if (d_agent_book < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_book, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_book = calculate_distance_min(s_agent, s_book) penalty_collision = 15 if (d_agent_book < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in a library. Objectives: Detect dynamic obstacle (human) and avoid collision. Conditions: Agent's state, human's state are accessible. Write a reward function in Python
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = -15 if (d_agent_human < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = 15 if (d_agent_human < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in a library. Objectives: Detect chairs and tabels and avoid collision. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Detect students and shelves and avoid collision. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = 10 if (d_agent_goal < c_2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < c_1) else 0 reward_reaching_goal = -10 if (d_agent_goal < c_2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with lamps and plants. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with decorations and tall shelves. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with stack books and lamps. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with books and lights. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with books, lights and humans. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with chair, table and humans. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with desks, lamps and students. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with stacked books, computers and staffs. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with stacked books, laptops and book carts. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a library. Objectives: Avoid collisions with curtains, plants and staffs. Conditions: Agent's state, obstacles' states are accessible. Write a reward function in Python
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Detect dynamic obstacle (human) and avoid collision. Conditions: Agent's state, human's state obtainable. Write a reward function in Python.
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = -15 if (d_agent_human < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = 15 if (d_agent_human < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
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Mission: Drone moves in a forest. Objectives: Detect static obstacle such as a tree and avoid collision. Conditions: Agent's state, tree's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_tree, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_tree = calculate_distance_min(s_agent, s_tree) penalty_collision = -15 if (d_agent_tree < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
def reward(s_agent, s_tree, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_tree = calculate_distance_min(s_agent, s_tree) penalty_collision = 15 if (d_agent_tree < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
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Mission: Drone moves in a forest. Objectives: Detect obstacle such as a leaf and avoid collision. Conditions: Agent's state, leaf's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_leaf, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_leaf = calculate_distance_min(s_agent, s_leaf) penalty_collision = -15 if (d_agent_leaf < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
def reward(s_agent, s_leaf, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_leaf = calculate_distance_min(s_agent, s_leaf) penalty_collision = 15 if (d_agent_leaf < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
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Mission: Drone moves in a forest. Objectives: Detect birds and avoid collision. Conditions: Agent's state, bird's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_bird, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_bird = calculate_distance_min(s_agent, s_bird) penalty_collision = -15 if (d_agent_bird < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
def reward(s_agent, s_bird, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_bird = calculate_distance_min(s_agent, s_bird) penalty_collision = 15 if (d_agent_bird < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
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Mission: Drone moves in a forest. Objectives: Avoid collision with stumps. Conditions: Agent's state and stump's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_stump, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_stump = calculate_distance_min(s_agent, s_stump) penalty_collision = -15 if (d_agent_stump < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
def reward(s_agent, s_stump, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_stump = calculate_distance_min(s_agent, s_stump) penalty_collision = 15 if (d_agent_stump < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
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Mission: Drone moves in a forest. Objectives: Detect obstacle such as a rock and avoid collision. Conditions: Agent's state, rock's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_rock, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_rock = calculate_distance_min(s_agent, s_rock) penalty_collision = -15 if (d_agent_rock < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
def reward(s_agent, s_rock, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_rock = calculate_distance_min(s_agent, s_rock) penalty_collision = 15 if (d_agent_rock < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reaching...
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Mission: Drone moves in a forest. Objectives: Detect thin branches and avoid collision. Conditions: Agent's state, branche's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_branch, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_branch = calculate_distance_min(s_agent, s_branch) penalty_collision = -15 if (d_agent_branch < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_...
def reward(s_agent, s_branch, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_branch = calculate_distance_min(s_agent, s_branch) penalty_collision = 15 if (d_agent_branch < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_...
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Mission: Drone moves in a forest. Objectives: Avoid collision with thick tree branches. Conditions: Agent's state, tree branche's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_tree_branch, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_tree_branch = calculate_distance_min(s_agent, s_tree_branch) penalty_collision = -15 if (d_agent_tree_branch < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty...
def reward(s_agent, s_tree_branch, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_tree_branch = calculate_distance_min(s_agent, s_tree_branch) penalty_collision = 15 if (d_agent_tree_branch < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty...
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Mission: Drone moves in a forest. Objectives: Detect people and avoid collision. Conditions: Agent's state, people's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_people, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_people = calculate_distance_min(s_agent, s_people) penalty_collision = -15 if (d_agent_people < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_...
def reward(s_agent, s_people, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_people = calculate_distance_min(s_agent, s_people) penalty_collision = 15 if (d_agent_people < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_...
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Mission: Drone moves in a forest. Objectives: Detect stones and avoid collision. Conditions: Agent's state and stone's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_stone, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_stone = calculate_distance_min(s_agent, s_stone) penalty_collision = -15 if (d_agent_stone < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
def reward(s_agent, s_stone, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_stone = calculate_distance_min(s_agent, s_stone) penalty_collision = 15 if (d_agent_stone < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
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Mission: Drone moves in a forest. Objectives: Detect stones and trees and avoid collision. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Detect branches and trees and avoid collision. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Detect humans and animals and avoid collision. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Detect leaves and trees avoid collision. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Avoid collisions with the many trees. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Avoid collisions with trees, branches and humans. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Avoid collisions with stumps, birds and humans. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Avoid collisions with trees, animals and stones. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Avoid collisions with maple trees, cliffs and signs. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a forest. Objectives: Avoid collisions with maple trees, cliffs and signs. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in the mensa. Objectives: Detect dynamic obstacle (human) and avoid collision. Conditions: Agent's state, human's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = -15 if (d_agent_human < 1) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = 15 if (d_agent_human < 1) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reac...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid any collision with hanging lamps. Conditions: Agent's information and lamp's information are available Write a reward in Python.
def reward(s_agent, s_lamp, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_lamp = calculate_distance_min(s_agent, s_lamp) penalty_collision = -15 if (d_agent_lamp < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_lamp, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_lamp = calculate_distance_min(s_agent, s_lamp) penalty_collision = 15 if (d_agent_lamp < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid any static obstacle such as food serving counters. Conditions: Agent's state, food counter's state are accessible. Write a reward in Python.
def reward(s_agent, s_counter, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_counter = calculate_distance_min(s_agent, s_counter) penalty_collision = -15 if (d_agent_counter < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + r...
def reward(s_agent, s_counter, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_counter = calculate_distance_min(s_agent, s_counter) penalty_collision = 15 if (d_agent_counter < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + r...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid to collide with a chair. Conditions: Agent's state, chair's states are accessible. Write a reward function in Python.
def reward(s_agent, s_chair, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_chair = calculate_distance_min(s_agent, s_chair) penalty_collision = -15 if (d_agent_chair < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_chair, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_chair = calculate_distance_min(s_agent, s_chair) penalty_collision = 15 if (d_agent_chair < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid to collide with a table. Conditions: Agent's state, table's state are available. Write a reward function in Python.
def reward(s_agent, s_table, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_table = calculate_distance_min(s_agent, s_table) penalty_collision = -15 if (d_agent_table < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_table, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_table = calculate_distance_min(s_agent, s_table) penalty_collision = 15 if (d_agent_table < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid to collide with trash bins. Conditions: Agent's state and trash bin's state are accessible. Write a reward function in Python.
def reward(s_agent, s_trash_bin, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_trash_bin = calculate_distance_min(s_agent, s_trash_bin) penalty_collision = -15 if (d_agent_trash_bin < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_colli...
def reward(s_agent, s_trash_bin, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_trash_bin = calculate_distance_min(s_agent, s_trash_bin) penalty_collision = 15 if (d_agent_trash_bin < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_colli...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid to collide with a low-hanging decoration. Conditions: Agent's state, hanging decoration's state and desired speed are accessible. Write a reward function in Python.
def reward(s_agent, s_decoration, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_decoration = calculate_distance_min(s_agent, s_decoration) penalty_collision = -15 if (d_agent_decoration < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_c...
def reward(s_agent, s_decoration, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_decoration = calculate_distance_min(s_agent, s_decoration) penalty_collision = 15 if (d_agent_decoration < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_c...
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Mission: Drone indoor exploration in the mensa. Objectives: Avoid to collide with plants. Conditions: Agent's state and plant's state are available. Write a reward function in Python.
def reward(s_agent, s_plant, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_plant = calculate_distance_min(s_agent, s_plant) penalty_collision = -15 if (d_agent_plant < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_plant, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_plant = calculate_distance_min(s_agent, s_plant) penalty_collision = 15 if (d_agent_plant < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in the mensa. Objectives: Do not collide with metal rails. Conditions: Agent's state, metal rail's state are accessible. Write a reward function in Python.
def reward(s_agent, s_rail, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_rail = calculate_distance_min(s_agent, s_rail) penalty_collision = -15 if (d_agent_rail < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_rail, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_rail = calculate_distance_min(s_agent, s_rail) penalty_collision = 15 if (d_agent_rail < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in the mensa. Objectives: Do not collide with cameras. Conditions: Agent's state and camera's state are available. Write a reward function in Python.
def reward(s_agent, s_cameras, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_cameras = calculate_distance_min(s_agent, s_cameras) penalty_collision = -15 if (d_agent_cameras < 0.5) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penalty_collision + r...
def reward(s_agent, s_cameras, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_cameras = calculate_distance_min(s_agent, s_cameras) penalty_collision = 15 if (d_agent_cameras < 0.5) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penalty_collision + r...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with people and table. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with students and chairs. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with plants and chairs. Conditions: Agent's state and obstacles' states are available. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with plants and desk. Conditions: Agent's state and obstacles' states are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with decoration and plant. Conditions: Agent's state and obstacles' states are available. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with cameras, student and table. Conditions: Agent's state and obstacles' states are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with chair, plant and table. Conditions: Agent's state and obstacles' states are available. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with staff, student and table. Conditions: Agent's state and obstacles' states are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with food counter, rails and camera. Conditions: Agent's state and obstacles' states are obtainable. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone moves in a mensa. Objectives: Avoid collisions with food counter, trash bin and staff. Conditions: Agent's state and obstacles' states are available. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone in-door navigation in a classroom. Objectives: Do not collide with the a wall of the room. Conditions: Agent's state, wall's location are avialable. Write a reward function in Python.
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = -15 if (d_agent_wall < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_wall, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_wall = calculate_distance_min(s_agent, s_wall) penalty_collision = 15 if (d_agent_wall < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reachi...
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Mission: Drone in-door navigation in a classroom. Objectives: Prevent contact with the people. Conditions: Agent's state and people's state are obtainable. Write a reward function in Python.
def reward(s_agent, s_people, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_people = calculate_distance_min(s_agent, s_people) penalty_collision = -15 if (d_agent_people < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + rewar...
def reward(s_agent, s_people, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_people = calculate_distance_min(s_agent, s_people) penalty_collision = 15 if (d_agent_people < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + rewar...
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Mission: Operate the drone in a classroom. Objectives: Avoid hitting the ceiling projector. Conditions: Agent's state and projector's state are accessible. Write a reward function in Python.
def reward(s_agent, s_projector, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_projector = calculate_distance_min(s_agent, s_projector) penalty_collision = -15 if (d_agent_projector < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_colli...
def reward(s_agent, s_projector, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_projector = calculate_distance_min(s_agent, s_projector) penalty_collision = 15 if (d_agent_projector < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_colli...
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Mission: Pilot a drone through a classroom. Objectives: Navigate without crashing into overhead lamps. Conditions: Agent's state, overhead lamp's state are accessible. Write a reward function in Python.
def reward(s_agent, s_lamp, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_lamp = calculate_distance_min(s_agent, s_lamp) penalty_collision = -15 if (d_agent_lamp < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reachi...
def reward(s_agent, s_lamp, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_lamp = calculate_distance_min(s_agent, s_lamp) penalty_collision = 15 if (d_agent_lamp < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_reachi...
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Mission: Drone indoor exploration in a classroom. Objectives: Detect static obstacle (blackboard) and avoid collision. Conditions: Agent's state, blackboard's state are accessible. Write a reward function in Python.
def reward(s_agent, s_blackboard, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_blackboard = calculate_distance_min(s_agent, s_blackboard) penalty_collision = -15 if (d_agent_blackboard < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_c...
def reward(s_agent, s_blackboard, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_blackboard = calculate_distance_min(s_agent, s_blackboard) penalty_collision = 15 if (d_agent_blackboard < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_c...
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Mission: Drone indoor exploration in a classroom. Objectives: Detect obstacle (tall bookshelves) and avoid collision. Conditions: Agent's state, bookshelve's state are accessible. Write a reward function in Python.
def reward(s_agent, s_bookshelve, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_bookshelve = calculate_distance_min(s_agent, s_bookshelve) penalty_collision = -15 if (d_agent_bookshelve < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_c...
def reward(s_agent, s_bookshelve, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_bookshelve = calculate_distance_min(s_agent, s_bookshelve) penalty_collision = 15 if (d_agent_bookshelve < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_c...
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Mission: Drone indoor exploration in a classroom. Objectives: Detect obstacle (backpack) and avoid collision. Conditions: Agent's state and backpack's state are accessible. Write a reward function in Python.
def reward(s_agent, s_backpack, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_backpack = calculate_distance_min(s_agent, s_backpack) penalty_collision = -15 if (d_agent_backpack < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision...
def reward(s_agent, s_backpack, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_backpack = calculate_distance_min(s_agent, s_backpack) penalty_collision = 15 if (d_agent_backpack < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision...
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Mission: Drone indoor exploration in a classroom. Objectives: Do not collide with human. Conditions: Agent's state and human's state are accessible. Write a reward function in Python.
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = -15 if (d_agent_human < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_re...
def reward(s_agent, s_human, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_human = calculate_distance_min(s_agent, s_human) penalty_collision = 15 if (d_agent_human < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + reward_re...
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Mission: Drone indoor exploration in a classroom. Objectives: Detect dynamic obstacle (a teacher) and avoid collision. Conditions: Agent's state and teacher's state are accessible. Write a reward function in Python.
def reward(s_agent, s_teacher, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_teacher = calculate_distance_min(s_agent, s_teacher) penalty_collision = -15 if (d_agent_teacher < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + r...
def reward(s_agent, s_teacher, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_teacher = calculate_distance_min(s_agent, s_teacher) penalty_collision = 15 if (d_agent_teacher < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + r...
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Mission: Drone indoor exploration in a classroom. Objectives: Detect dynamic obstacle (a student) and avoid collision. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_student, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_student = calculate_distance_min(s_agent, s_student) penalty_collision = -15 if (d_agent_student < 0.6) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.3) else 0 return penalty_collision + r...
def reward(s_agent, s_student, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_student = calculate_distance_min(s_agent, s_student) penalty_collision = 15 if (d_agent_student < 0.6) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.3) else 0 return penalty_collision + r...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with student and teacher. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with chair and desk. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with student and backpack. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with shelves and backpack. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with blackboards and whiteboards. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with teacher, blackboards and whiteboards. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with teacher, pupils and desk. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with shelves, chair and table. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with shelves, chair and table. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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Mission: Drone indoor exploration in a classroom. Objectives: Avoid collision with three boxes. Conditions: Agent's state and student's state are accessible. Write a reward function in Python.
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = -15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = 10 if (d_agent_goal < 0.2) else 0 return penal...
def reward(s_agent, s_obstacles, s_goal): d_agent_goal = calculate_distance(s_agent, s_goal) d_agent_obstacles_min = calculate_distance_min(s_agent, s_obstacles) penalty_collision = 15 if (d_agent_obstacles_min < 0.8) else 0 reward_reaching_goal = -10 if (d_agent_goal < 0.2) else 0 return penal...
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