---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_4_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-4
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 4
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.26666667461395266 +/- 0.24423170630035398
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 24.53333340883255 +/- 44.947390538539814
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 122.66666712760926 +/- 224.73694526974205
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.14166666939854622 +/- 0.24348229211157768
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.975 +/- 0.11180339887498947
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 818.2583312273025 +/- 623.9383921347651
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 818.2583312273025 +/- 623.9383921347651
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 12.241666674613953 +/- 5.139423095979583
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 11.858333373069764 +/- 5.146473016503177
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 1014.383337020874 +/- 634.9201357813032
      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>4</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

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