This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 4
with difficulty 10
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 4
Difficulty: 10
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-reported0.9949999988079071 +/- 0.022360685106199443
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported0.29754857206717134 +/- 0.6612722591280618
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported1.4877428144216538 +/- 3.3063611877410133
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.022103730216622354 +/- 0.039482863821780616
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported274.65237579345705 +/- 34.49504850001327
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported274.65237579345705 +/- 34.49504850001327
- Water Drop on hivex-aerial-wildfire-suppressionself-reported2.101252889633179 +/- 0.3808157213259622
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported2.101252889633179 +/- 0.3808157213259622
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported168.44546432495116 +/- 38.14918935961842