---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_2_task_3_run_id_1_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-3-difficulty-2
  results:
  - task:
      type: sub-task
      name: minimize_time_fire_burning
      task-id: 3
      difficulty-id: 2
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.06666666865348816 +/- 0.13679711768822556
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 1.45 +/- 3.3495657386738666
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 7.249999952316284 +/- 16.74782867264003
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.3527777805924416 +/- 0.4007283026646903
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.716666667163372 +/- 0.4192028074228474
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 255.98055567741395 +/- 148.28355870416527
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 255.98055567741395 +/- 148.28355870416527
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 19.411111223697663 +/- 13.424328820382387
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 19.355555641651154 +/- 13.43296587945375
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 259.08557624816893 +/- 165.96403709055332
      name: Cumulative Reward
      verified: true
---

This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>3</code> with difficulty <code>2</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>3</code><br>
Difficulty: <code>2</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)