40 citations · 541 across the 88 of their papers we have counts for
10 papers · 1 filter
Online Optimization with Feedback Delay and Nonlinear Switching Cost
Weici Pan, Guanya Shi, Yiheng Lin +1
We study a variant of online optimization in which the learner receives -round about hitting cost and there is a multi-step nonlinear switching cost,…
Stability Constrained Reinforcement Learning for Real-Time Voltage Control
Yuanyuan Shi, Guannan Qu, Steven Low +2
Deep reinforcement learning (RL) has been recognized as a promising tool to address the challenges in real-time control of power systems. However, its deployment in real-world powe…
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems
Bo Sun, Russell Lee, Mohammad Hajiesmaili +2
This paper leverages machine-learned predictions to design competitive algorithms for online conversion problems with the goal of improving the competitive ratio when predictions a…
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
Yiheng Lin, Yang Hu, Haoyuan Sun +3
We study predictive control in a setting where the dynamics are time-varying and linear, and the costs are time-varying and well-conditioned. At each time step, the controller rece…
Enabling Sustainable Clouds: The Case for Virtualizing the Energy System
Noman Bashir, Tian Guo, Mohammad Hajiesmaili +5
Cloud platforms' growing energy demand and carbon emissions are raising concern about their environmental sustainability. The current approach to enabling sustainable clouds focuse…
Robustness and Consistency in Linear Quadratic Control with Untrusted Predictions
Tongxin Li, Ruixiao Yang, Guannan Qu +4
We study the problem of learning-augmented predictive linear quadratic control. Our goal is to design a controller that balances \textit{"consistency"}, which measures the competit…