This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 1
with difficulty 8
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 1
Difficulty: 8
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-reported0.30833334252238276 +/- 0.2771777226968141
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported28.216666746139527 +/- 38.8679015625057
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported1410.833318901062 +/- 1943.3950349162335
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.06666666865348816 +/- 0.16578715799245552
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.975 +/- 0.11180339887498947
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported592.4916698455811 +/- 571.7471548283543
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported592.4916698455811 +/- 571.7471548283543
- Water Drop on hivex-aerial-wildfire-suppressionself-reported45.858332777023314 +/- 19.358443427747147
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported45.541666460037234 +/- 19.38731633910842
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported1881.6991638183595 +/- 1414.2531270122881