54 citations · 157 across the 13 of their papers we have counts for
5 papers · 1 filter
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…
Online Learning and Distributed Control for Residential Demand Response
Xin Chen, Yingying Li, Jun Shimada +1
This paper studies the automated control method for regulating air conditioner (AC) loads in incentive-based residential demand response (DR). The critical challenge is that the cu…
Online Optimal Control with Affine Constraints
Yingying Li, Subhro Das, Na Li
This paper considers online optimal control with affine constraints on the states and actions under linear dynamics with bounded random disturbances. The system dynamics and constr…
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…