Model: hivex-research/hivex-DBR-PPO-baseline-task-6-difficulty-3
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_3_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-3
results: task: type: sub-task
name: explore_furthest_distance_and_return_to_base
task-id: 6
difficulty-id: 3
dataset: name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics: type: furthest_distance_explored
value: 146.28668838500977 +/- 16.658292228774815
name: Furthest Distance Explored
verified: no, type: out_of_energy_count
value: 0.595357158780098 +/- 0.08324645242738359
name: Out of Energy Count
verified: no, type: recharge_energy_count
value: 131.29083390399813 +/- 117.44315350412963
name: Recharge Energy Count
verified: no, type: cumulative_reward
value: 6.076253048032522 +/- 5.155621265658263
name: Cumulative Reward
verified: no
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Created: 2024-08-30 08:26:47