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This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 7 with difficulty 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 7
Difficulty: 2
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
    0.05341013381257653 +/- 0.05198102898479312
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    86.7614631652832 +/- 15.132148131374196