Yu, Peihong

3 publications

TMLR 2025 Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning Peihong Yu, Manav Mishra, Alec Koppel, Carl Busart, Priya Narayan, Dinesh Manocha, Amrit Singh Bedi, Pratap Tokekar

NeurIPS 2025 On the Global Optimality of Policy Gradient Methods in General Utility Reinforcement Learning Anas Barakat, Souradip Chakraborty, Peihong Yu, Pratap Tokekar, Amrit Singh Bedi

ICCV 2017 Ray Space Features for Plenoptic Structure-from-Motion Yingliang Zhang, Peihong Yu, Wei Yang, Yuanxi Ma, Jingyi Yu