18 citations · 19 across the 2 of their papers we have counts for
5 papers
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control
Yang Zheng, Yujie Tang, Na Li
This paper revisits the classical Linear Quadratic Gaussian (LQG) control from a modern optimization perspective. We analyze two aspects of the optimization landscape of the LQG pr…
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems
Yujie Tang, Zhaolin Ren, Na Li
We study a class of cooperative multi-agent optimization problems, where each agent is associated with a local action vector and a local cost, and the goal is to cooperatively find…
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach
Yingying Li, Yujie Tang, Runyu Zhang +1
This paper considers a distributed reinforcement learning problem for decentralized linear quadratic control with partial state observations and local costs. We propose a Zero-Orde…
Distributed Zero-Order Algorithms for Nonconvex Multi-Agent Optimization
Yujie Tang, Junshan Zhang, Na Li
Distributed multi-agent optimization finds many applications in distributed learning, control, estimation, etc. Most existing algorithms assume knowledge of first-order information…
Running Primal-Dual Gradient Method for Time-Varying Nonconvex Problems
Yujie Tang, Emiliano Dall'Anese, Andrey Bernstein +1
This paper considers a nonconvex optimization problem that evolves over time, and addresses the synthesis and analysis of regularized primal-dual gradient methods to track a Karush…