| Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning Z Chen, S Zhang, TT Doan, ST Maguluri, JP Clarke Automatica, 2022 | 126* | 2022 |
| Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes Z Chen, ST Maguluri, S Shakkottai, K Shanmugam The 34th Conference on Neural Information Processing Systems, 2020 | 78* | 2020 |
| A Lyapunov theory for finite-sample guarantees of Markovian stochastic approximation Z Chen, ST Maguluri, S Shakkottai, K Shanmugam Operations Research, 2023 | 62* | 2023 |
| Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm Z Chen, S Khodadadian, ST Maguluri The 38th International Conference on Machine Learning, 2021 | 36 | 2021 |
| Finite-sample analysis of off-policy natural actor–critic with linear function approximation Z Chen, S Khodadadian, ST Maguluri IEEE Control Systems Letters 6, 2611-2616, 2022 | 35 | 2022 |
| Global convergence of localized policy iteration in networked multi-agent reinforcement learning Y Zhang, G Qu, P Xu, Y Lin, Z Chen, A Wierman Proceedings of the ACM on Measurement and Analysis of Computing Systems 7 (1 …, 2023 | 20 | 2023 |
| Nested vehicle routing problem: Optimizing drone-truck surveillance operations F Zeng, Z Chen, JP Clarke, D Goldsman Transportation Research Part C: Emerging Technologies 139, 103645, 2022 | 19 | 2022 |
| Sample complexity of policy-based methods under off-policy sampling and linear function approximation Z Chen, ST Maguluri International Conference on Artificial Intelligence and Statistics, 11195-11214, 2022 | 18 | 2022 |
| Target Network and Truncation Overcome the Deadly Triad in -Learning Z Chen, JP Clarke, ST Maguluri SIAM Journal on Mathematics of Data Science 5 (4), 1078-1101, 2023 | 16 | 2023 |
| Stationary Behavior of Constant Stepsize SGD Type Algorithms: An Asymptotic Characterization Z Chen, S Mou, ST Maguluri Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (1 …, 2022 | 14 | 2022 |
| Finite-sample analysis of off-policy TD-learning via generalized Bellman operators Z Chen, ST Maguluri, S Shakkottai, K Shanmugam Advances in Neural Information Processing Systems 34, 21440-21452, 2021 | 12 | 2021 |
| A finite-sample analysis of payoff-based independent learning in zero-sum stochastic games Z Chen, K Zhang, E Mazumdar, A Ozdaglar, A Wierman Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Convergence rates for localized actor-critic in networked markov potential games Z Zhou, Z Chen, Y Lin, A Wierman Uncertainty in Artificial Intelligence, 2563-2573, 2023 | 7 | 2023 |
| Concentration of contractive stochastic approximation: Additive and multiplicative noise Z Chen, ST Maguluri, M Zubeldia arXiv preprint arXiv:2303.15740, 2023 | 7 | 2023 |
| Approximate Global Convergence of Independent Learning in Multi-Agent Systems R Jin, Z Chen, Y Lin, J Song, A Wierman arXiv preprint arXiv:2405.19811, 2024 | | 2024 |
| Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games Z Chen, K Zhang, E Mazumdar, A Ozdaglar, A Wierman arXiv preprint arXiv:2312.04905, 2023 | | 2023 |
| A Unified Lyapunov Framework for Finite-Sample Analysis of Reinforcement Learning Algorithms Z Chen ACM SIGMETRICS Performance Evaluation Review 50 (3), 12-15, 2023 | | 2023 |
Siva Theja MaguluriGeorgia Institute of Technology在 gatech.edu 的电子邮件经过验证
