Model: hivex-research/hivex-DBR-PPO-baseline-task-6-difficulty-8
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_8_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-8
results: task: type: sub-task
name: explore_furthest_distance_and_return_to_base
task-id: 6
difficulty-id: 8
dataset: name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics: type: furthest_distance_explored
value: 152.7939179992676 +/- 16.582384715176737
name: Furthest Distance Explored
verified: no, type: out_of_energy_count
value: 0.6042698585987091 +/- 0.07199160438542929
name: Out of Energy Count
verified: no, type: recharge_energy_count
value: 129.7219599223137 +/- 111.90435118806306
name: Recharge Energy Count
verified: no, type: cumulative_reward
value: 5.2430641680955885 +/- 5.052460831890113
name: Cumulative Reward
verified: no
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Created: 2024-08-30 08:28:51