54 citations · 157 across the 13 of their papers we have counts for
13 papers
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies
Yingying Li, Tianpeng Zhang, Subhro Das +2
This paper considers a single-trajectory system identification problem for linear systems under general nonlinear and/or time-varying policies with i.i.d. random excitation noises.…
Online switching control with stability and regret guarantees
Yingying Li, James A. Preiss, Na Li +3
This paper considers online switching control with a finite candidate controller pool, an unknown dynamical system, and unknown cost functions. The candidate controllers can be uns…
Online Hyperparameter Optimization for Class-Incremental Learning
Yaoyao Liu, Yingying Li, Bernt Schiele +1
Class-incremental learning (CIL) aims to train a classification model while the number of classes increases phase-by-phase. An inherent challenge of CIL is the stability-plasticity…
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations
Yiheng Lin, James A. Preiss, Emile Anand +3
We study online adaptive policy selection in systems with time-varying costs and dynamics. We develop the Gradient-based Adaptive Policy Selection (GAPS) algorithm together with a…
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…
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…
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…
Online Optimization with Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit
Yingying Li, Guannan Qu, Na Li
This paper studies an online optimization problem with a finite prediction window of cost functions and additional switching costs on decisions. We propose two gradient-based onlin…