| MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels L Jiang, Z Zhou, T Leung, LJ Li, L Fei-Fei International Conference on Machine Learning, 2309-2318, 2018 | 1772 | 2018 |
| Learning in games with continuous action sets and unknown payoff functions P Mertikopoulos, Z Zhou Mathematical Programming 173 (1-2), 465-507, 2019 | 290 | 2019 |
| Estimation considerations in contextual bandits M Dimakopoulou, Z Zhou, S Athey, G Imbens arXiv preprint arXiv:1711.07077, 2017 | 236 | 2017 |
| Balanced linear contextual bandits M Dimakopoulou, Z Zhou, S Athey, G Imbens Proceedings of the AAAI Conference on Artificial Intelligence 33, 3445-3453, 2019 | 215 | 2019 |
| Robust low-rank tensor recovery with rectification and alignment X Zhang, D Wang, Z Zhou, Y Ma IEEE transactions on pattern analysis and machine intelligence 43 (1), 238-255, 2019 | 196 | 2019 |
| Offline multi-action policy learning: Generalization and optimization Z Zhou, S Athey, S Wager Operations Research, 2022 | 193 | 2022 |
| Cooperative pursuit with Voronoi partitions Z Zhou, W Zhang, J Ding, H Huang, DM Stipanović, CJ Tomlin Automatica 72, 64-72, 2016 | 191* | 2016 |
| Multiplayer reach-avoid games via pairwise outcomes M Chen, Z Zhou, CJ Tomlin IEEE Transactions on Automatic Control 62 (3), 1451-1457, 2016 | 165 | 2016 |
| Distributional soft actor critic for risk sensitive learning X Ma, Q Zhang, L Xia, Z Zhou, J Yang, Q Zhao arXiv preprint arXiv:2004.14547, 2020 | 110 | 2020 |
| Learning in generalized linear contextual bandits with stochastic delays Z Zhou, R Xu, J Blanchet Advances in Neural Information Processing Systems, 5197-5208, 2019 | 104 | 2019 |
| Stochastic mirror descent in variationally coherent optimization problems Z Zhou, P Mertikopoulos, N Bambos, S Boyd, PW Glynn Advances in Neural Information Processing Systems 30, 2017 | 103 | 2017 |
| A general, open-loop formulation for reach-avoid games Z Zhou, R Takei, H Huang, CJ Tomlin Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, 6501-6506, 2012 | 88 | 2012 |
| Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning Z Zhou, Z Zhou, Q Bai, L Qiu, J Blanchet, P Glynn International Conference on Artificial Intelligence and Statistics, 3331-3339, 2021 | 85 | 2021 |
| Infinite time horizon maximum causal entropy inverse reinforcement learning Z Zhou, M Bloem, N Bambos IEEE Transactions on Automatic Control 63 (9), 2787-2802, 2018 | 85 | 2018 |
| Efficient path planning algorithms in reach-avoid problems Z Zhou, J Ding, H Huang, R Takei, C Tomlin Automatica 89, 28-36, 2018 | 82 | 2018 |
| Multiplayer reach-avoid games via low dimensional solutions and maximum matching M Chen, Z Zhou, CJ Tomlin 2014 American control conference, 1444-1449, 2014 | 75 | 2014 |
| Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State S Dong, B Van Roy, Z Zhou arXiv preprint arXiv:2102.05261, 2021 | 74* | 2021 |
| Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go? Z Zhou, P Mertikopoulos, N Bambos, PW Glynn, Y Ye, LJ Li, FF Li ICML 2018-35th International Conference on Machine Learning, 1-10, 2018 | 71 | 2018 |
| Evasion as a team against a faster pursuer SY Liu, Z Zhou, C Tomlin, K Hedrick 2013 American Control Conference, 5368-5373, 2013 | 68 | 2013 |
| Distributionally robust policy evaluation and learning in offline contextual bandits N Si, F Zhang, Z Zhou, J Blanchet International Conference on Machine Learning, 8884-8894, 2020 | 65 | 2020 |