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--- |
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library_name: hivex |
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original_train_name: AerialWildfireSuppression_difficulty_3_task_3_run_id_2_train |
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tags: |
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- hivex |
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- hivex-aerial-wildfire-suppression |
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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-AWS-PPO-baseline-task-3-difficulty-3 |
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results: |
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- task: |
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type: sub-task |
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name: minimize_time_fire_burning |
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task-id: 3 |
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difficulty-id: 3 |
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dataset: |
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name: hivex-aerial-wildfire-suppression |
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type: hivex-aerial-wildfire-suppression |
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metrics: |
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- type: crash_count |
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value: 0.13333333730697633 +/- 0.191942979707825 |
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name: Crash Count |
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verified: true |
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- type: extinguishing_trees |
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value: 14.541666804254055 +/- 26.166017687701483 |
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name: Extinguishing Trees |
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verified: true |
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- type: extinguishing_trees_reward |
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value: 72.70833533406258 +/- 130.83009063914585 |
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name: Extinguishing Trees Reward |
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verified: true |
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- type: fire_out |
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value: 0.2750000022351742 +/- 0.37570596434541476 |
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name: Fire Out |
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verified: true |
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- type: fire_too_close_to_city |
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value: 0.8 +/- 0.37696851746252596 |
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name: Fire too Close to City |
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verified: true |
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- type: preparing_trees |
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value: 428.6583277225494 +/- 398.934153701881 |
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name: Preparing Trees |
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verified: true |
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- type: preparing_trees_reward |
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value: 428.6583277225494 +/- 398.934153701881 |
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name: Preparing Trees Reward |
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verified: true |
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- type: water_drop |
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value: 39.44999980926514 +/- 25.819498042077623 |
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name: Water Drop |
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verified: true |
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- type: water_pickup |
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value: 39.03333339691162 +/- 25.770557823927213 |
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name: Water Pickup |
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verified: true |
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- type: cumulative_reward |
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value: 570.5418758392334 +/- 430.32791406985166 |
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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 **Aerial Wildfire Suppression** environment, trained and tested on task <code>3</code> with difficulty <code>3</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br> |
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Environment: **Aerial Wildfire Suppression**<br> |
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Task: <code>3</code><br> |
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Difficulty: <code>3</code><br> |
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Algorithm: <code>PPO</code><br> |
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Episode Length: <code>3000</code><br> |
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Training <code>max_steps</code>: <code>1800000</code><br> |
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Testing <code>max_steps</code>: <code>180000</code><br><br> |
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Train & Test [Scripts](https://github.com/hivex-research/hivex)<br> |
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Download the [Environment](https://github.com/hivex-research/hivex-environments) |
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[hivex-paper]: https://arxiv.org/abs/2501.04180 |
