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---
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library_name: hivex
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original_train_name: AerialWildfireSuppression_difficulty_5_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-5
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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: 5
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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: 0.9886904746294022 +/- 0.02771131517144696
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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: 0.08853785246610642 +/- 0.18335850809661372
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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: 0.4426892638206482 +/- 0.9167925407962902
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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: 0.00773809552192688 +/- 0.02389552224594306
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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: 0.008712121471762656 +/- 0.026843490782201274
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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: 273.38488922119143 +/- 40.98115816740078
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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: 273.38488922119143 +/- 40.98115816740078
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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: 1.757782220840454 +/- 0.286049469501929
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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: 1.7500441253185273 +/- 0.2868768059725031
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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: 172.30555000305176 +/- 38.100567507916715
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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>5</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>5</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) |
