Yuanhao Wang 

Yuanhao Wang

yuanhao at princeton dot edu
[Google Scholar][Twitter][Curriculum Vitae]

I am a fourth-year PhD student at the Computer Science Department of Princeton University. I am fortunate to be advised by Chi Jin. Before that, I received my bachelor's degree from Yao Class at Tsinghua University. My research interests include reinforcement learning theory, learning in games and minimax optimization.

Selected Publications

Learning in Games

  • V-Learning – A Simple, Efficient, Decentralized Algorithm for Multiagent RL [arxiv]

    • Chi Jin, Qinghua Liu, Yuanhao Wang, Tiancheng Yu (α-β order)

    • Mathematics of Operations Research, Best Paper in ICLR 2022 “Gamification and Multiagent Solutions” workshop

  • Learning markov games with adversarial opponents: Efficient algorithms and fundamental limits [arxiv]

    • Qinghua Liu*, Yuanhao Wang*, Chi Jin

    • ICML 2022 (oral)

RL with Function Approximation

  • An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap [arxiv]

    • Yuanhao Wang, Ruosong Wang, Sham M. Kakade

    • NeurIPS 2021 (oral)

  • Is RLHF more Difficult than Standard RL? A Theoretical Perspective [arxiv]

    • Yuanhao Wang, Qinghua Liu, Chi Jin

    • NeurIPS 2023

Minimax Optimization


Reviewer for: ICML, NeurIPS, ICLR, AISTATS, COLT, etc.