This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 5 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 5
Difficulty: 6
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
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Evaluation results

  • Water Pickup on hivex-aerial-wildfire-suppression
    self-reported
    0.9977272719144821 +/- 0.010163948987181867
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    95.07879409790038 +/- 0.298689086770708