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This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 8 with difficulty 9 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 8
Difficulty: 9
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
    0.05000000149011612 +/- 0.122115853150177
  • Cumulative Reward on hivex-aerial-wildfire-suppression
    self-reported
    4.583333206176758 +/- 24.404455371729256