Model: hivex-research/hivex-DBR-PPO-baseline-task-6-difficulty-5
Author: hivex-research
Pipeline: reinforcement-learning
Library: hivex
Tags: hivex, tensorboard, onnx, hivex-drone-based-reforestation, reinforcement-learning, multi-agent-reinforcement-learning, arxiv:2501.04180, model-index, region:us
Card metadata: library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_5_task_6_run_id_1_train
tags: hivex, hivex-drone-based-reforestation, reinforcement-learning, multi-agent-reinforcement-learning
model-index: name: hivex-DBR-PPO-baseline-task-6-difficulty-5
results: task: type: sub-task
name: explore_furthest_distance_and_return_to_base
task-id: 6
difficulty-id: 5
dataset: name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics: type: furthest_distance_explored
value: 137.37953353881835 +/- 12.615748983046979
name: Furthest Distance Explored
verified: no, type: out_of_energy_count
value: 0.6040635073184967 +/- 0.08043410811022636
name: Out of Energy Count
verified: no, type: recharge_energy_count
value: 106.3367606653273 +/- 119.63729576848576
name: Recharge Energy Count
verified: no, type: cumulative_reward
value: 3.9467455238103866 +/- 4.488707334085729
name: Cumulative Reward
verified: no
Likes: 0 | All-time downloads: 0
Created: 2024-08-28 21:45:41