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--- |
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library_name: hivex |
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original_train_name: AerialWildfireSuppression_difficulty_4_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-4 |
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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: 4 |
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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: 0.12500000223517418 +/- 0.17832062789523476 |
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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: 12.74999994635582 +/- 16.512222842027622 |
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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: 63.74999964237213 +/- 82.56111388966389 |
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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: 0.2833333358168602 +/- 0.3711055092960568 |
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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: 0.875 +/- 0.2221308291596596 |
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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: 754.1750064849854 +/- 639.6152297445449 |
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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: 754.1750064849854 +/- 639.6152297445449 |
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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: 27.541666519641876 +/- 14.354622400373676 |
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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: 27.24166692495346 +/- 14.290989756251832 |
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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: 763.3192396879197 +/- 649.6844365742547 |
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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>4</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>4</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 |
