---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_9_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-9
  results:
  - task:
      type: sub-task
      name: minimize_time_fire_burning
      task-id: 3
      difficulty-id: 9
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.0833333358168602 +/- 0.12681432215480823
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 40.43333244919777 +/- 89.55848904778
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 202.1666701555252 +/- 447.79246693057974
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.31666667088866235 +/- 0.38578544750821686
      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: 889.5999923229217 +/- 798.283831409951
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 889.5999923229217 +/- 798.283831409951
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 46.18333358764649 +/- 23.596319104972988
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 45.63333377838135 +/- 23.684241605268586
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 1184.7800241470336 +/- 941.7770730791063
      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>9</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>3</code><br>
Difficulty: <code>9</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)