This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 6 with difficulty 6 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 6
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-reported0.011078277812339365 +/- 0.0043961198139685406
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported0.18530555460602044 +/- 0.16375919715020168
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported0.926527788490057 +/- 0.8187960126823034
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported293.15494537353516 +/- 7.732122846347472
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported293.15494537353516 +/- 7.732122846347472
- Water Drop on hivex-aerial-wildfire-suppressionself-reported0.9886111646890641 +/- 0.004251198123759855
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported0.00013020833721384407 +/- 0.0005823093864947417
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported293.06024780273435 +/- 7.49949720574366