Aerial Wildfire Suppression
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This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 2 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 2
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-2-difficulty-8
Evaluation results
- Crash Count on hivex-aerial-wildfire-suppressionself-reported0.17500000521540643 +/- 0.19098850845354493
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported5.816666756570339 +/- 11.8174346066285
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported29.08333278298378 +/- 59.08717051646657
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.15000000447034836 +/- 0.24720662360385337
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.975 +/- 0.11180339887498947
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported510.04166743159294 +/- 568.7866281385685
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported2550.2083440065385 +/- 2843.9331445458665
- Water Drop on hivex-aerial-wildfire-suppressionself-reported38.5666665315628 +/- 20.809101562250987
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported38.183333325386045 +/- 20.797681456595466
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported2953.239129829407 +/- 2575.5043197313657