This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 3 with difficulty 2 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 3
Difficulty: 2
Algorithm: PPO
Episode Length: 3000
Training max_steps: 1800000
Testing max_steps: 180000

Train & Test Scripts
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Reinforcement Learning

Collection including hivex-research/hivex-AWS-PPO-baseline-task-3-difficulty-2

Aerial Wildfire Suppression

Collection

90 items • Updated Mar 20, 2025

Paper for hivex-research/hivex-AWS-PPO-baseline-task-3-difficulty-2

HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version)

Paper • 2501.04180 • Published Jan 7, 2025

Evaluation results

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

0.06666666865348816 +/- 0.13679711768822556
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

1.45 +/- 3.3495657386738666
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

7.249999952316284 +/- 16.74782867264003
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.3527777805924416 +/- 0.4007283026646903
Fire too Close to City on hivex-aerial-wildfire-suppression
self-reported

0.716666667163372 +/- 0.4192028074228474
Preparing Trees on hivex-aerial-wildfire-suppression
self-reported

255.98055567741395 +/- 148.28355870416527
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

255.98055567741395 +/- 148.28355870416527
Water Drop on hivex-aerial-wildfire-suppression
self-reported

19.411111223697663 +/- 13.424328820382387
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

19.355555641651154 +/- 13.43296587945375
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

259.08557624816893 +/- 165.96403709055332