This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 0 with difficulty 1 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 0
Difficulty: 1
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-0-difficulty-1

Aerial Wildfire Suppression

Collection

89 items • Updated 11 days ago

Evaluation results

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

0.4638888962566853 +/- 0.22022125290367361
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

4.927777701616288 +/- 10.908043339081729
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

24.638889169692995 +/- 54.54021798933507
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.16944444850087165 +/- 0.26087460404732826
Fire too Close to City on hivex-aerial-wildfire-suppression
self-reported

0.4000000014901161 +/- 0.4060939306276508
Preparing Trees on hivex-aerial-wildfire-suppression
self-reported

466.66389350891114 +/- 226.10086599763596
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

466.66389350891114 +/- 226.10086599763596
Water Drop on hivex-aerial-wildfire-suppression
self-reported

6.894444406032562 +/- 3.5710508499944695
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

6.702777767181397 +/- 3.5387613166964393
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

419.7281740188599 +/- 230.5992870123718

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