---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_3_task_0_run_id_1_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-0-difficulty-3
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 3
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.0833333358168602 +/- 0.12681432215480823
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 6.791666813194752 +/- 17.30909921307683
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 33.95833272337914 +/- 86.54549141729059
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.3250000037252903 +/- 0.372579912027151
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.85 +/- 0.3284733426658932
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 1214.2916635513307 +/- 909.8089264585527
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 1214.2916635513307 +/- 909.8089264585527
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 20.291666793823243 +/- 8.402323759531772
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 19.79166646003723 +/- 8.33067930580936
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 1321.465838623047 +/- 654.5775149733734
      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>3</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>0</code><br>
Difficulty: <code>3</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)