Active Sensing for Communications by Learning. (arXiv:2112.04075v2 [cs.IT] UPDATED)

This paper proposes a deep learning approach to a class of active sensing
problems in wireless communications in which an agent sequentially interacts
with an environment over a predetermined number of time frames to gather
information in order to perform a sensing or actuation task for maximizing some
utility function. In such an active learning setting, the agent needs to design
an adaptive sensing strategy sequentially based on the observations made so
far. To tackle such a challenging problem in …

arxiv communications learning sensing