Publications

Preprints

• 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

Machine Learning Conference Papers

• Policy Evaluation in Distributional LQR

  • Z. Wang, Y. Gao, S. Wang, M. M. Zavlanos, A. Abate, and K. H. Johansson

  • （Oral Presentation) Learning for Dynamics and Control (L4DC2023)

• Risk-Averse No-Regret Learning in Online Convex Games

  • Z. Wang, Y. Shen, and M. M. Zavlanos

  • International Conference on Machine Learning (ICML2022)

Journal Papers

• 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

Control Conference Papers

• Online Learning of Nash Equilibria in Risk-Averse Games

  • Z. Wang, Y. Shen, M. M. Zavlanos, and K. H. Johansson

  • American Control Conference (ACC2024)

• Convergence Analysis of the Best Response Algorithm for Time-Varying Games

  • Z. Wang, Y. Shen, M. M. Zavlanos, and K. H. Johansson

  • IEEE Conference on Decision and Control (CDC2023)

• 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

  • IEEE Conference on Decision and Control (CDC2022)