This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 6
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
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Collection including hivex-research/hivex-AWS-PPO-baseline-task-3-difficulty-6

Evaluation results

  • Crash Count on hivex-aerial-wildfire-suppression
    self-reported
    0.06666666865348816 +/- 0.1134261779434835
  • Extinguishing Trees on hivex-aerial-wildfire-suppression
    self-reported
    1.5666666589677334 +/- 2.829150672657006
  • Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    7.833333364129066 +/- 14.145753412942762
  • Fire Out on hivex-aerial-wildfire-suppression
    self-reported
    0.2666666693985462 +/- 0.33508312811569124
  • Fire too Close to City on hivex-aerial-wildfire-suppression
    self-reported
    0.95 +/- 0.1538967528127731
  • Preparing Trees on hivex-aerial-wildfire-suppression
    self-reported
    154.78333240449427 +/- 154.1237338451524
  • Preparing Trees Reward on hivex-aerial-wildfire-suppression
    self-reported
    154.78333240449427 +/- 154.1237338451524
  • Water Drop on hivex-aerial-wildfire-suppression
    self-reported
    7.933333319425583 +/- 8.128248283765428
  • Water Pickup on hivex-aerial-wildfire-suppression
    self-reported
    7.249999922513962 +/- 8.238140370843592
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    165.14980994462968 +/- 219.08646861162933