This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task 1 with difficulty 3 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Aerial Wildfire Suppression
Task: 1
Difficulty: 3
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-3

Aerial Wildfire Suppression

Collection

89 items • Updated Jan 7

Evaluation results

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

0.3388888955116272 +/- 0.28207207032208675
Extinguishing Trees on hivex-aerial-wildfire-suppression
self-reported

16.488888897374274 +/- 25.98319189651514
Extinguishing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

824.4444324493409 +/- 1299.1595474984952
Fire Out on hivex-aerial-wildfire-suppression
self-reported

0.1083333358168602 +/- 0.1970172357255564
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

654.4472227096558 +/- 552.5331585615204
Preparing Trees Reward on hivex-aerial-wildfire-suppression
self-reported

654.4472227096558 +/- 552.5331585615204
Water Drop on hivex-aerial-wildfire-suppression
self-reported

38.655555725097656 +/- 17.813019068968373
Water Pickup on hivex-aerial-wildfire-suppression
self-reported

38.36388869285584 +/- 17.753789101902516
Cumulative Reward on hivex-aerial-wildfire-suppression
self-reported

1660.678343963623 +/- 2522.553744525116

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