This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3
with difficulty 5
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 5
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-reported0.10000000298023223 +/- 0.14709666274350333
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported21.849999871850013 +/- 26.55595966139508
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported109.25000078678131 +/- 132.77980124383632
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.2833333373069763 +/- 0.3903065252105535
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.975 +/- 0.11180339887498947
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported720.8999999046325 +/- 714.1611892677554
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported720.8999999046325 +/- 714.1611892677554
- Water Drop on hivex-aerial-wildfire-suppressionself-reported43.80000042915344 +/- 23.772717959813576
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported43.35833301544189 +/- 23.80096972956163
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported972.7084733963013 +/- 771.3352656170343