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--- |
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library_name: hivex |
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original_train_name: AerialWildfireSuppression_difficulty_9_task_0_run_id_1_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-0-difficulty-9 |
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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: 9 |
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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: 0.24166667386889457 +/- 0.1750104476777611 |
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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: 17.141666746139528 +/- 39.513165920891936 |
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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: 85.70833311080932 +/- 197.56582920337453 |
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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: 0.12500000223517418 +/- 0.24106852927463382 |
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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: 0.9 +/- 0.2615741818902984 |
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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: 721.7666670084 +/- 737.4681856167363 |
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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: 721.7666670084 +/- 737.4681856167363 |
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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: 66.28333377838135 +/- 30.644495531353783 |
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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: 65.93333344459533 +/- 30.521844562150648 |
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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: 996.1558359742164 +/- 875.8416918638716 |
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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>0</code> with difficulty <code>9</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>0</code><br> |
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Difficulty: <code>9</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 |
