---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_8_task_2_run_id_1_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-2-difficulty-8
  results:
  - task:
      type: sub-task
      name: maximize_preparing_non_burning_trees
      task-id: 2
      difficulty-id: 8
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.17500000521540643 +/- 0.19098850845354493
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 5.816666756570339 +/- 11.8174346066285
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 29.08333278298378 +/- 59.08717051646657
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.15000000447034836 +/- 0.24720662360385337
      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: 510.04166743159294 +/- 568.7866281385685
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 2550.2083440065385 +/- 2843.9331445458665
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 38.5666665315628 +/- 20.809101562250987
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 38.183333325386045 +/- 20.797681456595466
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 2953.239129829407 +/- 2575.5043197313657
      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>8</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>2</code><br>
Difficulty: <code>8</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)