---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_7_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-7
  results:
  - task:
      type: sub-task
      name: minimize_time_fire_burning
      task-id: 3
      difficulty-id: 7
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.06666666865348816 +/- 0.12565617623235442
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 7.908333319425583 +/- 16.36833652069324
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 39.541666293144225 +/- 81.84168247486198
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.25000000223517416 +/- 0.37658049139486893
      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: 509.2750062227249 +/- 625.6526270127268
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 509.2750062227249 +/- 625.6526270127268
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 62.22499976158142 +/- 27.943513820272507
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 61.808333253860475 +/- 27.991450221952636
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 622.9698296546936 +/- 494.1472072826427
      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>7</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>3</code><br>
Difficulty: <code>7</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)