prompt stringlengths 132 364 | chosen stringlengths 175 472 | rejected stringlengths 103 388 ⌀ | rejec,ted stringclasses 1
value | rejecte,d stringclasses 1
value |
|---|---|---|---|---|
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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
... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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_... | null | null |
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... | null | null |
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_... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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... | null | null |
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