---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_8_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-8
  results:
  - task:
      type: sub-task
      name: minimize_time_fire_burning
      task-id: 3
      difficulty-id: 8
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.11666667014360428 +/- 0.15389675739925376
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 7.149999964237213 +/- 12.380174144905482
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 35.749999809265134 +/- 61.900870510137494
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.2750000037252903 +/- 0.30240266233230134
      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: 637.5249996185303 +/- 610.8152897953913
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 637.5249996185303 +/- 610.8152897953913
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 62.60833292007446 +/- 40.706273365657445
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 62.24166722297669 +/- 40.64510829090928
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 719.1452117919922 +/- 472.4957273514114
      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>8</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

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