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---
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library_name: hivex
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original_train_name: AerialWildfireSuppression_difficulty_8_task_4_run_id_0_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-4-difficulty-8
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results:
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- task:
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type: sub-task
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name: protect_village
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task-id: 4
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difficulty-id: 8
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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: 0.9925824165344238 +/- 0.02284823226393604
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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: 0.0949134185910225 +/- 0.27686598704684745
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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: 0.4745671033859253 +/- 1.3843300000675678
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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: 0.00357142873108387 +/- 0.015971914838998697
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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: 0.026685259863734247 +/- 0.042508034690655574
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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: 281.05667572021486 +/- 33.36053303432415
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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: 281.05667572021486 +/- 33.36053303432415
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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: 1.9489688873291016 +/- 0.2672890550666218
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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: 1.9453974604606628 +/- 0.2713707685551629
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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: 171.03001670837403 +/- 35.59643888706601
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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>4</code> with difficulty <code>8</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>4</code><br>
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Difficulty: <code>8</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) |
