---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_5_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-5
  results:
  - task:
      type: sub-task
      name: minimize_time_fire_burning
      task-id: 3
      difficulty-id: 5
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.10000000298023223 +/- 0.14709666274350333
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 21.849999871850013 +/- 26.55595966139508
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 109.25000078678131 +/- 132.77980124383632
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.2833333373069763 +/- 0.3903065252105535
      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: 720.8999999046325 +/- 714.1611892677554
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 720.8999999046325 +/- 714.1611892677554
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 43.80000042915344 +/- 23.772717959813576
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 43.35833301544189 +/- 23.80096972956163
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 972.7084733963013 +/- 771.3352656170343
      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>5</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>3</code><br>
Difficulty: <code>5</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)