---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_1_task_3_run_id_0_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-3-difficulty-1
  results:
  - task:
      type: sub-task
      name: minimize_time_fire_burning
      task-id: 3
      difficulty-id: 1
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.14166667088866233 +/- 0.18945135260751206
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 1.041666679084301 +/- 3.059772488050604
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 5.208333283662796 +/- 15.298862328050262
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.4916666686534882 +/- 0.427405472920952
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.575 +/- 0.46665100224336487
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 654.5333339691163 +/- 369.49324566338055
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 654.5333339691163 +/- 369.49324566338055
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 19.52499990463257 +/- 10.494119202517384
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 19.108333349227905 +/- 10.481433832592886
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: 722.9217496871948 +/- 414.79654723295414
      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>1</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>3</code><br>
Difficulty: <code>1</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)