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--- |
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library_name: hivex |
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original_train_name: DroneBasedReforestation_difficulty_10_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-10 |
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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: 10 |
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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: 2.4901976776123047 +/- 0.7106346342581482 |
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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: 73.15180267333984 +/- 16.01239171149343 |
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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: 59.689389877319336 +/- 11.847134878664495 |
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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: 0.2490197652578354 +/- 0.07106346368414662 |
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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: 6.189901051521301 +/- 2.069236630928566 |
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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: 0.9284761929512024 +/- 0.0666754640473818 |
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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: 9.823968200683593 +/- 1.0843417843839367 |
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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: 1.0422539913654327 +/- 0.06928386006526491 |
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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: 10.091075601577758 +/- 2.9491417551616106 |
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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>10</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: **Drone-Based Reforestation**<br>Task: <code>0</code><br>Difficulty: <code>10</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 |
