Policy Evaluation in Distributional LQR (Extended Version)
Z. Wang, Y. Gao, S. Wang, M. M. Zavlanos, A. Abate, and K. H. Johansson
Constrained Optimization with Decision-Dependent Distributions
Z. Wang, C. Liu, T. Parisini, M. M. Zavlanos, and K. H. Johansson
Asymmetric Feedback Learning in Online Convex Games
Z. Wang, X. Yi, Y. Shen, M. M. Zavlanos, and K. H. Johansson
Policy Evaluation in Distributional LQR
L4DC-23. Learning for Dynamics and Control, 2023. (Oral Presentation)
Risk-Averse No-Regret Learning in Online Convex Games
Z. Wang, Y. Shen, and M. M. Zavlanos
ICML-22. International Conference on Machine Learning, 2022.
Distributed Dynamic Event-Triggered Communication and Control for Multi-Agent Consensus: A Hybrid System Approach
Z. Wang, Y. Gao, Y. Liu, S. Wang, and L. Wu
Information Science. 618: 191-208. 2022
Online Learning of Nash Equilibria in Risk-Averse Games
Z. Wang, Y. Shen, M. M. Zavlanos, and K. H. Johansson
ACC-24. American Control Conference, 2024.
Convergence Analysis of the Best Response Algorithm for Time-Varying Games
CDC-23. IEEE Conference on Decision and Control, 2023.
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
Z. Wang, Y. Shen, Z. I. Bell, S. Nivison, M. M. Zavlanos, and K. H. Johansson
CDC-22. IEEE Conference on Decision and Control, 2022.