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

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

Aerial Wildfire Suppression

Collection

89 items • Updated 24 days ago

Evaluation results

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

0.10555555783212185 +/- 0.16411299281130134
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

5.788888883590698 +/- 10.994661682099375
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

289.44444465637207 +/- 549.7330871286864
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.36388889104127886 +/- 0.42710131135604623
Fire too Close to City on hivex-aerial-wildfire-suppression
self-reported

0.7083333343267441 +/- 0.40780040400115103
Preparing Trees on hivex-aerial-wildfire-suppression
self-reported

556.8888899803162 +/- 429.9611601706457
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

556.8888899803162 +/- 429.9611601706457
Water Drop on hivex-aerial-wildfire-suppression
self-reported

15.513888931274414 +/- 8.362694438094918
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

14.897222208976746 +/- 8.362974150430102
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

817.7808405578137 +/- 571.7617652663462

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