| Risk-averse no-regret learning in online convex games Z Wang, Y Shen, M Zavlanos International Conference on Machine Learning, 22999-23017, 2022 | 8 | 2022 |
| Distributed dynamic event-triggered communication and control for multi-agent consensus: A hybrid system approach Z Wang, Y Gao, Y Liu, S Wang, L Wu Information Sciences 618, 191-208, 2022 | 6 | 2022 |
| A zeroth-order momentum method for risk-averse online convex games Z Wang, Y Shen, ZI Bell, S Nivison, MM Zavlanos, KH Johansson 2022 IEEE 61st Conference on Decision and Control (CDC), 5179-5184, 2022 | 4 | 2022 |
| Policy evaluation in distributional lqr Z Wang, Y Gao, S Wang, MM Zavlanos, A Abate, KH Johansson Learning for Dynamics and Control Conference, 1245-1256, 2023 | 2 | 2023 |
| Convergence Analysis of the Best Response Algorithm for Time-Varying Games Z Wang, Y Shen, MM Zavlanos, KH Johansson 2023 62nd IEEE Conference on Decision and Control (CDC), 1144-1149, 2023 | 1 | 2023 |
| Asymmetric Feedback Learning in Online Convex Games Z Wang, X Yi, Y Shen, MM Zavlanos, KH Johansson arXiv preprint arXiv:2307.08812, 2023 | 1 | 2023 |
| Event-based distributed estimation of stochastic systems over sensor networks with deception attacks Z Wang, Y Liu, Y Fan 2021 IEEE International Conference on Power Electronics, Computer …, 2021 | 1 | 2021 |
| Risk-averse Learning with Non-Stationary Distributions S Wang, Z Wang, X Yi, MM Zavlanos, KH Johansson, S Hirche arXiv preprint arXiv:2404.02988, 2024 | | 2024 |
| Learning of Nash Equilibria in Risk-Averse Games Z Wang, Y Shen, MM Zavlanos, KH Johansson arXiv preprint arXiv:2403.10399, 2024 | | 2024 |
| Policy Evaluation in Distributional LQR (Extended Version) Z Wang, Y Gao, S Wang, MM Zavlanos, A Abate, KH Johansson arXiv preprint arXiv:2401.10240, 2023 | | 2023 |
| Constrained Optimization with Decision-Dependent Distributions Z Wang, C Liu, T Parisini, MM Zavlanos, KH Johansson arXiv preprint arXiv:2310.02384, 2023 | | 2023 |
Michael M. ZavlanosDuke University在 duke.edu 的电子邮件经过验证
