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Peihong Yu

Ph.D. Student
University of Maryland, College Park
peihong@umd.edu


About Me

I am a Ph.D. student in Computer Science at University of Maryland, College Park, working with Prof. Pratap Tokekar.

I currently work in the field of Reinforcement Learning, mostly Multi-Agent RL. The core of my work is to address the challenges of training efficiency and generalizability, allowing autonomous agents to learn effectively and perform robustly across diverse scenarios.

Prior to that, I was a master’s student in School of Information Science and Technology at ShanghaiTech University, co-supervised by Prof. Jingyi Yu and Prof. Laurent Kneip, working on SLAM and 3D Reconstruction.

Experiences

SRI Logo
SRI International
Research Scientist Intern
Summer 2023
Meta Logo
Meta Reality Lab
Research Scientist Intern
Summer 2022

Publications

  1. CORL Workshop
    Peihong Yu, Bhoram Lee, Aswin Raghavan, Supun Samarasekara, Pratap Tokekar, James Zachary Hare
    Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023

  2. IEEE Access
    Peihong Yu, Cen Wang, Zhirui Wang, Jingyi Yu, Laurent Kneip
    IEEE Access, 2020

  3. ICCV
    Yingliang Zhang, Peihong Yu, Wei Yang, Yuanxi Ma, Jingyi Yu
    IEEE International Conference on Computer Vision (ICCV), 2017

  4. ICCP
    Yingliang Zhang, Zhong Li, Wei Yang, Peihong Yu, Haiting Lin, Jingyi Yu
    IEEE International Conference on Computational Photography (ICCP), 2017


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