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--- |
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library_name: hivex |
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original_train_name: AerialWildfireSuppression_difficulty_10_task_6_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-6-difficulty-10 |
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results: |
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- task: |
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type: sub-task |
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name: drop_water |
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task-id: 6 |
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difficulty-id: 10 |
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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: 0.01919534709304571 +/- 0.004891916336268155 |
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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: 0.14774187933653593 +/- 0.21025496427030596 |
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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: 0.7387093845754862 +/- 1.0512748048411527 |
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name: Extinguishing Trees Reward |
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verified: true |
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- type: preparing_trees |
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value: 275.08778228759763 +/- 6.872679334348032 |
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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: 275.08778228759763 +/- 6.872679334348032 |
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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: 0.9804799735546113 +/- 0.0052643568095604555 |
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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: 0.0006513423752039671 +/- 0.0012320225884513893 |
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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: 273.9627319335938 +/- 7.442108906238094 |
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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>6</code> with difficulty <code>10</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>6</code><br> |
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Difficulty: <code>10</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 |
