
Yecheng (Jason) Ma
PhD, CIS
Jason is a 4th-year PhD student at UPenn GRASP Laboratory, where he is advised by Dinesh Jayaraman and Osbert Bastani. His research focuses on reinforcement learning and robot learning. These days he is interested in training and deploying foundation models for robotics and embodied agents, and in particular, how to enable robots to learn from internet-scale data.
Research Groups
Publications
EUREKA: HUMAN-LEVEL REWARD DESIGN VIACODING LARGE LANGUAGE MODELS
Publisher Nvidia
Learning Effective Abstractions for Planning
Publisher CoRL
POLICY AWARE MODEL LEARNING VIA
TRANSITION OCCUPANCY MATCHING
Publisher NeurIPS
Conservative Offline Distributional Reinforcement Learning
Publisher In NeurIPS
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Highlights from GRASP at CoRL 2022
December 20, 2022
