Journal Papers

  1. Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State (2021 INFORMS Nicholson Award)
    Shi Dong , Benjamin Van Roy and Zhengyuan Zhou
    Journal of Machine Learning Research, forthcoming, 2022

  2. Offline Policy Learning: Generalization and Optimization (2018 INFORMS Nicholson Award Finalist)
    Zhengyuan Zhou, Susan Athey and Stefan Wager
    Operations Research, 2022

  3. Distributed Stochastic Optimization with Large Delays
    Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn and Yinyu Ye
    Mathematics of Operations Research, 2021

  4. Smart Greedy Distributed Energy Allocation: a Random Games Approach
    Ilai Bistritz,Andrew Ward, Zhengyuan Zhou and Nicholas Bambos
    IEEE Transactions on Automatic Control, 2021

  5. Batched Learning in Generalized Linear Contextual Bandits with General Decision Sets
    Zhimei Ren, Zhengyuan Zhou and Jayant R. Kalagnanam
    IEEE Control Systems Letters, 2021

  6. Robust Power Management via Learning and Game Design
    Zhengyuan Zhou, Panayotis Mertikopoulos, Aris Moustakas, Nicholas Bambos and Peter Glynn
    Operations Research, 2020

  7. Smarter Lions: Efficient Cooperative Pursuit in General Bounded Areas
    Zhengyuan Zhou, Jonathan Shewchuk, Dusan Stipanovic, Haomiao Huang and Claire Tomlin
    SIAM Journal on Control and Optimization, 2020

  8. On the Convergence of Mirror Descent Beyond Stochastic Convex Programming
    Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen Boyd and Peter Glynn
    SIAM Journal on Optimization, 2020

  9. Learning in Games with Continuous Action Sets and Unknown Payoff Functions
    Panayotis Mertikopoulos and Zhengyuan Zhou.
    Mathematical Programming, 2019

  10. Robust Low-Rank Tensor Recovery with Rectification and Alignment
    Xiaoqing Zhang, Di Wang, Zhengyuan Zhou and Yi Ma
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019

  11. Deterministic and Stochastic Wireless Networks Games: Equilibrium, Dynamics and Price of Anarchy
    Zhengyuan Zhou, Nicholas Bambos and Peter Glynn.
    Operations Research, 2018

  12. Infinite Time Horizon Maximum Causal Entropy Inverse Reinforcement Learning
    Zhengyuan Zhou, Michael Bloem, and Nicholas Bambos.
    IEEE Transactions on Automatic Control, 2018

  13. Efficient Planning Algorithms for Reach-Avoid Problems
    Zhengyuan Zhou, Jerry Ding, Haomiao Huang, Ryo Takei and Claire Tomlin.
    Automatica, 2018

  14. Improving Predictions of Pediatric Surgical Durations with Supervised Learning
    Neal Master, Zhengyuan Zhou, Daniel Miller, David Scheinker, Nicholas Bambos and Peter Glynn
    International Journal of Data Science and Analytics, 2017

  15. Service Rate Control of Tandem Queues with Power Constraints
    Li Xia, Daniel Miller, Zhengyuan Zhou and Nicholas Bambos.
    IEEE Transactions on Automatic Control,, 2017

  16. Cooperative Pursuit with Voronoi Partitions
    Zhengyuan Zhou, Wei Zhang, Jerry Ding, Haomiao Huang, Dusan Stipanovic and Claire Tomlin.
    Automatica, 2016.

  17. Multiplayer Reach-Avoid Games via Pairwise Outcomes
    Mo Chen, Zhengyuan Zhou and Claire Tomlin.
    IEEE Transactions on Automatic Control, 2016.

  18. The Importance of Exploration in Online Marketplaces
    Siddhartha Banerjee, Ramesh Johari and Zhengyuan Zhou.
    IEEE Internet Computing, Volume 20, Issue 1, 2016.

  19. Stochastic Control with Uncertainty Parameters via Chance Constrained Control
    Michael Vitus, Zhengyuan Zhou and Claire Tomlin.
    IEEE Transactions on Automatic Control, 2015.

  20. An Efficient Algorithm for a Visibility-Based Surveillance-Evasion Game
    Ryo Takei, Richard Tsai, Zhengyuan Zhou, and Yanina Landa.
    Communications in Mathematical Sciences, Volume 12, 2014.

  21. Semigroups of SL3(C) Tensor Product Invariants
    Christopher Manon, Zhengyuan Zhou.
    Journal of Algebra, Volume 400, February 2014.

Conference Papers