This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3
with difficulty 3
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 3
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-reported0.13333333730697633 +/- 0.191942979707825
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported14.541666804254055 +/- 26.166017687701483
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported72.70833533406258 +/- 130.83009063914585
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.2750000022351742 +/- 0.37570596434541476
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.8 +/- 0.37696851746252596
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported428.6583277225494 +/- 398.934153701881
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported428.6583277225494 +/- 398.934153701881
- Water Drop on hivex-aerial-wildfire-suppressionself-reported39.44999980926514 +/- 25.819498042077623
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported39.03333339691162 +/- 25.770557823927213
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported570.5418758392334 +/- 430.32791406985166