---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_10_task_0_run_id_2_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-0-difficulty-10
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 10
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.3416666768491268 +/- 0.20572934629325312
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 22.541666667163373 +/- 44.01873186547685
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 112.70833333134651 +/- 220.0936595589533
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.07500000223517418 +/- 0.1750104476777611
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.875 +/- 0.31933318682925255
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 674.8416697263717 +/- 544.8041855624299
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 674.8416697263717 +/- 544.8041855624299
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 49.54999938011169 +/- 18.605090713043403
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 49.26666617393494 +/- 18.509156507840594
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 880.1708267211914 +/- 503.11196457140045
      name: Cumulative Reward
      verified: true
---

This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>0</code> with difficulty <code>10</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>0</code><br>
Difficulty: <code>10</code><br>
Algorithm: <code>PPO</code><br>
Episode Length: <code>3000</code><br>
Training <code>max_steps</code>: <code>1800000</code><br>
Testing <code>max_steps</code>: <code>180000</code><br><br>

Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>
Download the [Environment](https://github.com/hivex-research/hivex-environments)