This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 7
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
Download the Environment

Downloads last month: -; Downloads are not tracked for this model. How to track

Video Preview

Reinforcement Learning

Collection including hivex-research/hivex-AWS-PPO-baseline-task-0-difficulty-7

Aerial Wildfire Suppression

Collection

89 items • Updated 11 days ago

Evaluation results

Crash Count on hivex-aerial-wildfire-suppression
self-reported

0.13333333730697633 +/- 0.1585755350905039
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

20.61666655242443 +/- 31.49538645519398
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

103.08333207368851 +/- 157.4769288508104
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.18333333730697632 +/- 0.31483775244365086
Fire too Close to City on hivex-aerial-wildfire-suppression
self-reported

0.975 +/- 0.11180339887498947
Preparing Trees on hivex-aerial-wildfire-suppression
self-reported

652.3000063419342 +/- 754.7335526661299
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

652.3000063419342 +/- 754.7335526661299
Water Drop on hivex-aerial-wildfire-suppression
self-reported

56.241666316986084 +/- 36.06428926662349
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

55.76666698455811 +/- 35.96926061643514
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

728.9100012302399 +/- 710.9909405090588

View on Papers With Code