---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_9_task_0_run_id_1_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-0-difficulty-9
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 9
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.24166667386889457 +/- 0.1750104476777611
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 17.141666746139528 +/- 39.513165920891936
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 85.70833311080932 +/- 197.56582920337453
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.12500000223517418 +/- 0.24106852927463382
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.9 +/- 0.2615741818902984
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 721.7666670084 +/- 737.4681856167363
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 721.7666670084 +/- 737.4681856167363
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 66.28333377838135 +/- 30.644495531353783
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 65.93333344459533 +/- 30.521844562150648
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 996.1558359742164 +/- 875.8416918638716
      name: Cumulative Reward
      verified: true
---

This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>0</code> with difficulty <code>9</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>0</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)