This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3
with difficulty 7
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 7
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-reported0.06666666865348816 +/- 0.12565617623235442
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported7.908333319425583 +/- 16.36833652069324
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported39.541666293144225 +/- 81.84168247486198
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.25000000223517416 +/- 0.37658049139486893
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.975 +/- 0.11180339887498947
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported509.2750062227249 +/- 625.6526270127268
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported509.2750062227249 +/- 625.6526270127268
- Water Drop on hivex-aerial-wildfire-suppressionself-reported62.22499976158142 +/- 27.943513820272507
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported61.808333253860475 +/- 27.991450221952636
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported622.9698296546936 +/- 494.1472072826427