Yudong Luo 罗煜东

PhD Student
Computer Science
University of Waterloo & Vector Institute
E-mail: yudong.luo [at] uwaterloo [dot] ca
[GitHub]


About

My research interests lie at the intersection of reinforcement learning, machine learning, and multi-agent system.

Publication

Distributed Heuristic Multi-Agent Path Finding with Communication
Ziyuan Ma*, Yudong Luo*, Hang Ma (* indicates equal contribution)
IEEE International Conference on Robotics and Automation (ICRA), 2021 (48.0%)
[PDF] [Slides] [Code]

Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
Yudong Luo, Oliver Schulte, Pascal Poupart
International Joint Conference on Artificial Intelligence (IJCAI), 2020 (12.6%)
[PDF] [Slides] [Poster] [Code]

Valuing Sports Actions and Players with Inverse Reinforcement Learning
Yudong Luo and Oliver Schulte
AAAI workshop, Artificial Intelligence in Team Sports (AITS), 2020 (spotlight)
[PDF] [Slides]

Deep soccer analytics: Learning an action-value function for evaluating soccer players
Guiliang Liu, Yudong Luo, Oliver Schulte, Tarak Kharrat
Data Mining and Knowledge Discovery (DMKD), 2020 (ECML PKDD Journal Track)
[PDF] [Slides]

EEG-based Emotion Recognition using Domain Adaptation Network
Yi-Ming Jin, Yu-Dong Luo, Wei-Long Zheng, Bao-Liang Lu
International Conference on Orange Technologies (ICOT), 2017 (invited paper)
[PDF] [Slides]

Education

PhD. Computer Science, University of Waterloo, Waterloo, Canada, 2020 - current
→ with Professor Pascal Poupart
MSc. Computing Science, Simon Fraser University, Vancouver area, Canada, 2018 - 2020
→ with Professor Oliver Schulte
BEng. Computer Science, Shanghai Jiao Tong University, Shanghai, China, 2014 - 2018
→ work with Professor Bao-Liang Lu

Intern

Mitacs Accelerate Program at SportLogiq, Vancouver area, Canada, Mar. 2020 - Jun. 2020
Baidu, Rich Media, Shanghai, China, Mar. 2018 - Aug. 2018
Tencent, Pitu, Shanghai, China, Mar. 2018 - Apr. 2018
National University of Singapore, School of Computing with Prof. Yair Zick, Jul. 2017 - Sep. 2017

Teaching Assistant

Introduction to Computer Programming 1 (CS105)

Miscellaneous

Bilibili: [一枚云落]