Task-Oriented Sensing and Covert Transmissions for Collaborative Multi-AUV Systems
The SVR-MARL framework addresses limitations in underwater autonomous vehicle cooperation by using 'sensed information' to determine how useful local observations are for collaboration. It learns distributed policies that balance task performance with realistic constraints like long communication delays, interference, and covert exposure risks. This approach improves mission efficiency while minimizing unnecessary transmissions.