This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 4 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 4
Difficulty: 6
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-reported0.995833334326744 +/- 0.01863389536983029
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported0.4878607466816902 +/- 1.5825325244644477
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported2.4393037766218186 +/- 7.912662831428387
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.008012820780277253 +/- 0.024684854855393578
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported277.3211982727051 +/- 28.61713074868279
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported277.3211982727051 +/- 28.61713074868279
- Water Drop on hivex-aerial-wildfire-suppressionself-reported1.76927210688591 +/- 0.30789056520294616
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported1.76927210688591 +/- 0.30789056520294616
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported177.74845504760742 +/- 32.464829950692376