---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_4_task_2_run_id_2_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-2-difficulty-4
  results:
  - task:
      type: sub-task
      name: maximize_preparing_non_burning_trees
      task-id: 2
      difficulty-id: 4
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.2666666738688946 +/- 0.21220094741551065
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 15.033333298563957 +/- 25.090456231376915
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 75.16666680574417 +/- 125.45228120233335
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.08333333507180214 +/- 0.19117978221378917
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.65 +/- 0.4006573545930159
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 698.3916749000549 +/- 592.6497869663837
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 3491.958309555054 +/- 2963.248872852455
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 37.541666984558105 +/- 19.128060369297387
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 37.23333339691162 +/- 18.986482878845344
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 3759.337190246582 +/- 2254.2074397931997
      name: Cumulative Reward
      verified: true
---

This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>2</code> with difficulty <code>4</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>2</code><br>
Difficulty: <code>4</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)