Wenhao Zhan

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I am a Ph.D. student at Princeton University advised by Professor Jason D. Lee and Yuxin Chen.
Before that, I received my Bachelor's Degree in Electronic Engineering from Tsinghua University.

Office: Friend Center 307, Princeton, NJ.
Email: wenhao.zhan@princeton.edu


My research interests include

  • Reinforcement Learning

  • Distributed Statistical Estimation and Learning


  1. W. Zhan, M. Uehara, W. Sun, J. D. Lee, "PAC Reinforcement Learning for Predictive State Representations", accepted to ICLR, 2023.

  2. W. Zhan, J. D. Lee, Z. Yang, "Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games", accepted to ICLR, 2023.

  3. W. Zhan*, S. Cen*, B. Huang, Y. Chen, J. D. Lee, Y. Chi, "Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence", accepted to SIAM Journal on Optimization, 2023. (*=equal contributions)

  4. W. Zhan, B. Huang, A. Huang, N. Jiang, J. D. Lee, "Offline Reinforcement Learning with Realizability and Single-policy Concentrability", COLT 2022.

  5. C. Z. Lee, L. P. Barnes, W. Zhan, A. Özgür, "Over-the-Air Statistical Estimation of Sparse Models", GLOBECOM 2021.

  6. W. Zhan, H. Tang, J. Wang, "Delay Optimal Cross-Layer Scheduling Over Markov Channels with Power Constraint", BMSB 2020.


  • Fall 2022: Theory of Weakly Supervised Learning, as TA (Princeton, Instructor: Prof. Jason D. Lee)