This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 3
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment
Evaluation results
- Crash Count on hivex-aerial-wildfire-suppressionself-reported0.0833333358168602 +/- 0.12681432215480823
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported6.791666813194752 +/- 17.30909921307683
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported33.95833272337914 +/- 86.54549141729059
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.3250000037252903 +/- 0.372579912027151
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.85 +/- 0.3284733426658932
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported1214.2916635513307 +/- 909.8089264585527
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported1214.2916635513307 +/- 909.8089264585527
- Water Drop on hivex-aerial-wildfire-suppressionself-reported20.291666793823243 +/- 8.402323759531772
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported19.79166646003723 +/- 8.33067930580936
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported1321.465838623047 +/- 654.5775149733734