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---
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library_name: hivex
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original_train_name: AerialWildfireSuppression_difficulty_8_task_3_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-3-difficulty-8
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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: 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: 0.11666667014360428 +/- 0.15389675739925376
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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: 7.149999964237213 +/- 12.380174144905482
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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: 35.749999809265134 +/- 61.900870510137494
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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: 0.2750000037252903 +/- 0.30240266233230134
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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: 0.975 +/- 0.11180339887498947
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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: 637.5249996185303 +/- 610.8152897953913
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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: 637.5249996185303 +/- 610.8152897953913
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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: 62.60833292007446 +/- 40.706273365657445
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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: 62.24166722297669 +/- 40.64510829090928
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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: 719.1452117919922 +/- 472.4957273514114
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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>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>3</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) |
