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

Environment: Aerial Wildfire Suppression
Task: 8
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
    0.07833333536982537 +/- 0.12660792045593888
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    30.990195941925048 +/- 44.5910033782468