---
library_name: hivex
original_train_name: AerialWildfireSuppression_difficulty_1_task_4_run_id_0_train
tags:
- hivex
- hivex-aerial-wildfire-suppression
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-AWS-PPO-baseline-task-4-difficulty-1
  results:
  - task:
      type: sub-task
      name: protect_village
      task-id: 4
      difficulty-id: 1
    dataset:
      name: hivex-aerial-wildfire-suppression
      type: hivex-aerial-wildfire-suppression
    metrics:
    - type: crash_count
      value: 0.6166666761040688 +/- 0.22360679529482064
      name: Crash Count
      verified: true
    - type: extinguishing_trees
      value: 0.4333333492279053 +/- 1.9379256515825043
      name: Extinguishing Trees
      verified: true
    - type: extinguishing_trees_reward
      value: 2.166666603088379 +/- 9.689627618168343
      name: Extinguishing Trees Reward
      verified: true
    - type: fire_out
      value: 0.05833333507180214 +/- 0.11180340220699042
      name: Fire Out
      verified: true
    - type: fire_too_close_to_city
      value: 0.425 +/- 0.37257991018529735
      name: Fire too Close to City
      verified: true
    - type: preparing_trees
      value: 210.27499961853027 +/- 101.36103492999625
      name: Preparing Trees
      verified: true
    - type: preparing_trees_reward
      value: 210.27499961853027 +/- 101.36103492999625
      name: Preparing Trees Reward
      verified: true
    - type: water_drop
      value: 3.3749999940395354 +/- 2.19507356485688
      name: Water Drop
      verified: true
    - type: water_pickup
      value: 3.2916666686534883 +/- 2.260695820449611
      name: Water Pickup
      verified: true
    - type: cumulative_reward
      value: -69.60107120275498 +/- 211.17136032627994
      name: Cumulative Reward
      verified: true
---

This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>4</code> with difficulty <code>1</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: **Aerial Wildfire Suppression**<br>
Task: <code>4</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)