This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 8
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
    0.11666667014360428 +/- 0.15389675739925376
  • Extinguishing Trees on hivex-aerial-wildfire-suppression
    self-reported
    7.149999964237213 +/- 12.380174144905482
  • Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    35.749999809265134 +/- 61.900870510137494
  • Fire Out on hivex-aerial-wildfire-suppression
    self-reported
    0.2750000037252903 +/- 0.30240266233230134
  • Fire too Close to City on hivex-aerial-wildfire-suppression
    self-reported
    0.975 +/- 0.11180339887498947
  • Preparing Trees on hivex-aerial-wildfire-suppression
    self-reported
    637.5249996185303 +/- 610.8152897953913
  • Preparing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    637.5249996185303 +/- 610.8152897953913
  • Water Drop on hivex-aerial-wildfire-suppression
    self-reported
    62.60833292007446 +/- 40.706273365657445
  • Water Pickup on hivex-aerial-wildfire-suppression
    self-reported
    62.24166722297669 +/- 40.64510829090928
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    719.1452117919922 +/- 472.4957273514114