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This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 3
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
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Evaluation results

  • Crash Count on hivex-aerial-wildfire-suppression
    self-reported
    0.13333333730697633 +/- 0.191942979707825
  • Extinguishing Trees on hivex-aerial-wildfire-suppression
    self-reported
    14.541666804254055 +/- 26.166017687701483
  • Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    72.70833533406258 +/- 130.83009063914585
  • Fire Out on hivex-aerial-wildfire-suppression
    self-reported
    0.2750000022351742 +/- 0.37570596434541476
  • Fire too Close to City on hivex-aerial-wildfire-suppression
    self-reported
    0.8 +/- 0.37696851746252596
  • Preparing Trees on hivex-aerial-wildfire-suppression
    self-reported
    428.6583277225494 +/- 398.934153701881
  • Preparing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    428.6583277225494 +/- 398.934153701881
  • Water Drop on hivex-aerial-wildfire-suppression
    self-reported
    39.44999980926514 +/- 25.819498042077623
  • Water Pickup on hivex-aerial-wildfire-suppression
    self-reported
    39.03333339691162 +/- 25.770557823927213
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    570.5418758392334 +/- 430.32791406985166