Peihong Yu
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 International
Research Scientist Intern
Summer 2023
Meta Reality Lab
Research Scientist Intern
Summer 2022
Publications
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RSS 2025
Robotics: Science and Systems, 2025 -
DC@AAMAS 2025
Doctoral Consortium @ AAMAS, 2025 -
AAMAS 2025
The 24th International Conference on Autonomous Agents and Multi-Agent Systems, 2025 -
TMLR 2025
Transactions on Machine Learning Research, 2025 -
OOD@CORL 2023
Workshop on Out-of-Distribution Generalization in Robotics at CoRL, 2023 -
IEEE Access 2020
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ICCV 2017
IEEE International Conference on Computer Vision (ICCV), 2017 -
ICCP 2017
IEEE International Conference on Computational Photography (ICCP), 2017
Preprints
Preprint
Preprint
Preprint
Services
Conference Reviewers
- IEEE International Conference on Robotics and Automation (ICRA), 2020, 2023
- The International Conference on Learning Representations (ICLR), 2025
Journal Reviewers
- IEEE Robotics and Automation Letters (RA-L), 2020, 2025
Mentoring
Teaching Asistants
- CMSC 351: Algorithms @ UMD, Fall 2019, Fall 2020
- CMSC 421: Introduction to Artificial Intelligence @ UMD, Spring 2020, Fall 2021, Spring 2021, Spring 2025
- CMSC 742: Algorithms in Machine Learning: Guarantees and Analyses @ UMD, Spring 2023
Mentoring
- AI4ALL Summer Program @ UMD
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