---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_1_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-1
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 1
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.4638888962566853 +/- 0.22022125290367361
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 4.927777701616288 +/- 10.908043339081729
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 24.638889169692995 +/- 54.54021798933507
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.16944444850087165 +/- 0.26087460404732826
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.4000000014901161 +/- 0.4060939306276508
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 466.66389350891114 +/- 226.10086599763596
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 466.66389350891114 +/- 226.10086599763596
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 6.894444406032562 +/- 3.5710508499944695
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 6.702777767181397 +/- 3.5387613166964393
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 419.7281740188599 +/- 230.5992870123718
      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>1</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>0</code><br>
Difficulty: <code>1</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)