---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_6_task_2_run_id_0_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-2-difficulty-6
  results:
  - task:
      type: sub-task
      name: maximize_preparing_non_burning_trees
      task-id: 2
      difficulty-id: 6
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.11666667014360428 +/- 0.18809603682131015
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 26.57500003799796 +/- 36.448371998578736
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 132.87500058710575 +/- 182.24186375120422
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.3166666701436043 +/- 0.4114586821666224
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.95 +/- 0.15389675281277315
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 637.158332157135 +/- 502.3677062623285
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 3185.791680145264 +/- 2511.8385615224347
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 81.89166564941407 +/- 40.19878442392626
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 81.56666650772095 +/- 40.211261838762134
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 3751.6249725341795 +/- 3124.340359471712
      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>6</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>2</code><br>
Difficulty: <code>6</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)