This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3
with difficulty 8
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 3
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-reported0.11666667014360428 +/- 0.15389675739925376
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported7.149999964237213 +/- 12.380174144905482
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported35.749999809265134 +/- 61.900870510137494
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.2750000037252903 +/- 0.30240266233230134
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.975 +/- 0.11180339887498947
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported637.5249996185303 +/- 610.8152897953913
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported637.5249996185303 +/- 610.8152897953913
- Water Drop on hivex-aerial-wildfire-suppressionself-reported62.60833292007446 +/- 40.706273365657445
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported62.24166722297669 +/- 40.64510829090928
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported719.1452117919922 +/- 472.4957273514114