
Edward Hu
PhD, CIS
Edward is a Ph.D. student in the GRASP lab advised by Professor Dinesh Jayaraman. Edward is broadly interested in the interplay between perception and action for intelligence and its implications for developing practical and versatile learning methods for robotics. Edward is particularly interested in model-based reinforcement learning and active perception. Edward has received the Best Paper Award at CoRL 2022 conference and the Best Paper Award at the CoRL22 RoboAdapt Workshop.
Edward completed his MS and BS in Computer Science at the University of Southern California, where he worked on reinforcement learning for robotics with Professor Joseph J. Lim.
Research Groups
Publications
Planning Goals for Exploration
Publisher ICLR
Transferable Visual Control Policies Through Robot-Awareness
Publisher ICLR
