---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_8_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-8
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 8
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.10833333656191826 +/- 0.14584900099920892
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 23.324999898672104 +/- 55.08031019150775
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 116.62500007152558 +/- 275.40155086604756
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.22500000149011612 +/- 0.3638448035924671
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.85 +/- 0.28562028528873973
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 769.4333295822144 +/- 713.797537109146
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 769.4333295822144 +/- 713.797537109146
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 42.46666691303253 +/- 16.681099284118027
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 42.0666668176651 +/- 16.62014604652166
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 1093.1966667175293 +/- 733.5777441210589
      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>8</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>0</code><br>
Difficulty: <code>8</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)