Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation

Haozhe Lei (Graduate Student Member, IEEE) received the B.E. degree in electrical engineering and automation from China Agricultural University, Beijing, China, in 2019, and the M.S. degree in computer engineering from New York University (NYU), NY, USA, in 2022. He is currently pursuing the Ph.D. degree in electrical engineering with NYU Wireless, under the supervision of Professor Sundeep Rangan. His research interests include RF sensing, Wireless Robotics, integrated sensing and communication (ISAC), and reinforcement learning. His recent work focuses on likelihood-based RF localization and full-posterior inference for 6G decision making, as well as multi-band antenna/receiver coordination under mobility. He also develops wireless robotics systems for indoor navigation, including a mobile-robot-based FR3 platform for closed-loop localization and navigation experiments. He was a recipient of the 2023 Ernst Weber Fellowship from the NYU Tandon School of Engineering.