Publications

Working Papers

  • Offline Multi-Action Policy Learning: Generalization and Optimization
    Zhengyuan Zhou, Susan Athey and Stefan Wager
    2018 INFORMS George Nicholson Award Finalist

  • Multi-Agent Online Learning under Imperfect Information
    Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn and Claire Tomlin
    2017 INFORMS George Nicholson Award Finalist
    2017 Applied Probability Society Student Paper Award Finalist

  • Distributed Stochastic Optimization with Large Delays
    Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter Glynn and Yinyu Ye

    Mathematics of Operations Research, under review, 2018

  • Estimation Considerations in Contextual Bandits
    Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey and Guido Imbens

    preprint, 2018

  • Journal Papers

  • Robust Power Management via Learning and Game Design
    Zhengyuan Zhou, Panayotis Mertikopoulos, Aris Moustakas, Nicholas Bambos and Peter Glynn

    Operations Research, to appear, 2020

  • 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

  • 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

  • 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

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

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

  • Learning in Games with Continuous Action Sets and Unknown Payoff Functions
    Panayotis Mertikopoulos and Zhengyuan Zhou.
    Mathematical Programming, 2018

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

  • 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

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

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

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

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

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

  • 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.

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

  • Conference Papers