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--- |
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library_name: hivex |
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original_train_name: DroneBasedReforestation_difficulty_5_task_0_run_id_2_train |
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tags: |
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- hivex |
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- hivex-drone-based-reforestation |
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- reinforcement-learning |
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- multi-agent-reinforcement-learning |
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model-index: |
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- name: hivex-DBR-PPO-baseline-task-0-difficulty-5 |
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results: |
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- task: |
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type: main-task |
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name: main_task |
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task-id: 0 |
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difficulty-id: 5 |
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dataset: |
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name: hivex-drone-based-reforestation |
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type: hivex-drone-based-reforestation |
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metrics: |
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- type: cumulative_distance_reward |
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value: 2.7580876886844634 +/- 0.7562888045399391 |
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name: Cumulative Distance Reward |
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verified: true |
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- type: cumulative_distance_until_tree_drop |
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value: 78.29452056884766 +/- 14.296043451183179 |
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name: Cumulative Distance Until Tree Drop |
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verified: true |
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- type: cumulative_distance_to_existing_trees |
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value: 50.473754501342775 +/- 11.98073606874106 |
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name: Cumulative Distance to Existing Trees |
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verified: true |
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- type: cumulative_normalized_distance_until_tree_drop |
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value: 0.2758087694644928 +/- 0.07562888371330763 |
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name: Cumulative Normalized Distance Until Tree Drop |
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verified: true |
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- type: cumulative_tree_drop_reward |
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value: 7.088011031150818 +/- 1.7168094182484812 |
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name: Cumulative Tree Drop Reward |
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verified: true |
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- type: out_of_energy_count |
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value: 0.9958095240592957 +/- 0.022119619288807686 |
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name: Out of Energy Count |
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verified: true |
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- type: recharge_energy_count |
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value: 9.258539686203003 +/- 0.587428694662249 |
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name: Recharge Energy Count |
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verified: true |
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- type: tree_drop_count |
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value: 0.9893650794029236 +/- 0.03160683668166852 |
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name: Tree Drop Count |
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verified: true |
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- type: cumulative_reward |
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value: 10.612933225631714 +/- 2.659049482325796 |
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name: Cumulative Reward |
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verified: true |
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--- |
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This model serves as the baseline for the **Drone-Based Reforestation** environment, trained and tested on task <code>0</code> with difficulty <code>5</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: **Drone-Based Reforestation**<br>Task: <code>0</code><br>Difficulty: <code>5</code><br>Algorithm: <code>PPO</code><br>Episode Length: <code>2000</code><br>Training <code>max_steps</code>: <code>1200000</code><br>Testing <code>max_steps</code>: <code>300000</code><br><br>Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>Download the [Environment](https://github.com/hivex-research/hivex-environments) |
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[hivex-paper]: https://arxiv.org/abs/2501.04180 |
