Aerial Wildfire Suppression
Collection
90 items • Updated
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 4 with difficulty 8 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Aerial Wildfire Suppression
Task: 4
Difficulty: 8
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000
Train & Test Scripts
Download the Environment
Collection including hivex-research/hivex-AWS-PPO-baseline-task-4-difficulty-8
Paper for hivex-research/hivex-AWS-PPO-baseline-task-4-difficulty-8
Evaluation results
- Crash Count on hivex-aerial-wildfire-suppressionself-reported0.9925824165344238 +/- 0.02284823226393604
- Extinguishing Trees on hivex-aerial-wildfire-suppressionself-reported0.0949134185910225 +/- 0.27686598704684745
- Extinguishing Trees Reward on hivex-aerial-wildfire-suppressionself-reported0.4745671033859253 +/- 1.3843300000675678
- Fire Out on hivex-aerial-wildfire-suppressionself-reported0.00357142873108387 +/- 0.015971914838998697
- Fire too Close to City on hivex-aerial-wildfire-suppressionself-reported0.026685259863734247 +/- 0.042508034690655574
- Preparing Trees on hivex-aerial-wildfire-suppressionself-reported281.05667572021486 +/- 33.36053303432415
- Preparing Trees Reward on hivex-aerial-wildfire-suppressionself-reported281.05667572021486 +/- 33.36053303432415
- Water Drop on hivex-aerial-wildfire-suppressionself-reported1.9489688873291016 +/- 0.2672890550666218
- Water Pickup on hivex-aerial-wildfire-suppressionself-reported1.9453974604606628 +/- 0.2713707685551629
- Cumulative Reward on hivex-aerial-wildfire-suppressionself-reported171.03001670837403 +/- 35.59643888706601