This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 2 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 2
Difficulty: 10
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
Download the Environment

Downloads last month

-

Downloads are not tracked for this model. How to track
Video Preview
loading

Collection including hivex-research/hivex-AWS-PPO-baseline-task-2-difficulty-10

Evaluation results

  • Crash Count on hivex-aerial-wildfire-suppression
    self-reported
    0.15833333730697632 +/- 0.20572934499076767
  • Extinguishing Trees on hivex-aerial-wildfire-suppression
    self-reported
    19.241666620969774 +/- 33.273080342427235
  • Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    96.20833342075348 +/- 166.36540223877446
  • Fire Out on hivex-aerial-wildfire-suppression
    self-reported
    0.20833333507180213 +/- 0.32387908421054906
  • Fire too Close to City on hivex-aerial-wildfire-suppression
    self-reported
    0.95 +/- 0.22360679774997894
  • Preparing Trees on hivex-aerial-wildfire-suppression
    self-reported
    995.8083220481873 +/- 896.6925434987216
  • Preparing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    4979.041623306274 +/- 4483.462788982591
  • Water Drop on hivex-aerial-wildfire-suppression
    self-reported
    36.908333444595335 +/- 20.718840949931526
  • Water Pickup on hivex-aerial-wildfire-suppression
    self-reported
    36.41666669845581 +/- 20.746415247545407
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    5726.971720504761 +/- 3142.936334111313