Model: hivex-research/hivex-DBR-PPO-baseline-task-6-difficulty-2
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_2_task_6_run_id_2_train
tags: hivex, hivex-drone-based-reforestation, reinforcement-learning, multi-agent-reinforcement-learning
model-index: name: hivex-DBR-PPO-baseline-task-6-difficulty-2
results: task: type: sub-task
name: explore_furthest_distance_and_return_to_base
task-id: 6
difficulty-id: 2
dataset: name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics: type: furthest_distance_explored
value: 168.98811096191406 +/- 14.397350162774785
name: Furthest Distance Explored
verified: no, type: out_of_energy_count
value: 0.6052063649892807 +/- 0.07042549223909607
name: Out of Energy Count
verified: no, type: recharge_energy_count
value: 105.80906302928925 +/- 107.6122695299055
name: Recharge Energy Count
verified: no, type: cumulative_reward
value: 8.523429723531008 +/- 8.479993355695575
name: Cumulative Reward
verified: no
Likes: 0 | All-time downloads: 0
Created: 2024-08-30 08:26:21