Aerial Wildfire Suppression
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Updated
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 8
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment
Collection including hivex-research/hivex-AWS-PPO-baseline-task-0-difficulty-8
Evaluation results
- Crash Count on hivex-aerial-wildfire-suppressionself-reported0.10833333656191826 +/- 0.14584900099920892
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported23.324999898672104 +/- 55.08031019150775
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported116.62500007152558 +/- 275.40155086604756
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.22500000149011612 +/- 0.3638448035924671
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.85 +/- 0.28562028528873973
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported769.4333295822144 +/- 713.797537109146
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported769.4333295822144 +/- 713.797537109146
- Water Drop on hivex-aerial-wildfire-suppressionself-reported42.46666691303253 +/- 16.681099284118027
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported42.0666668176651 +/- 16.62014604652166
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported1093.1966667175293 +/- 733.5777441210589