11 citations · 18 across the 3 of their papers we have counts for
6 papers
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
Yingying Li, Subhro Das, Jeff Shamma +1
We study the adaptive control of an unknown linear system with a quadratic cost function subject to safety constraints on both the states and actions. The challenges of this proble…
On the Regret Analysis of Online LQR Control with Predictions
Runyu Zhang, Yingying Li, Na Li
In this paper, we study the dynamic regret of online linear quadratic regulator (LQR) control with time-varying cost functions and disturbances. We consider the case where a finite…
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms
Yingying Li, Na Li
We consider online convex optimization with time-varying stage costs and additional switching costs. Since the switching costs introduce coupling across all stages, multi-step-ahea…
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response
Yingying Li, Qinran Hu, Na Li
One challenge in the optimization and control of societal systems is to handle the unknown and uncertain user behavior. This paper focuses on residential demand response (DR) and p…
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…
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
Yingying Li, Xin Chen, Na Li
This paper studies the online optimal control problem with time-varying convex stage costs for a time-invariant linear dynamical system, where a finite lookahead window of accurate…