1 citations · 1 across the 3 of their papers we have counts for
4 papers
Communication-aware Wide-Area Damping Control using Risk-Constrained Reinforcement Learning
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
Non-ideal communication links, especially delays, critically affect fast networked controls in power systems, such as the wide-area damping control (WADC). Traditionally, a delay e…
Power-Constrained Policy Gradient Methods for LQR
Ashwin Verma, Aritra Mitra, Lintao Ye +1
Consider a discrete-time Linear Quadratic Regulator (LQR) problem solved using policy gradient descent when the system matrices are unknown. The gradient is transmitted across a no…
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
Lintao Ye, Aritra Mitra, Vijay Gupta
Consider a linear quadratic regulator (LQR) problem being solved in a model-free manner using the policy gradient approach. If the gradient of the quadratic cost is being transmitt…
Online Mixed Discrete and Continuous Optimization: Algorithms, Regret Analysis and Applications
Lintao Ye, Ming Chi, Zhi-Wei Liu +2
We study an online mixed discrete and continuous optimization problem where a decision maker interacts with an unknown environment for a number of rounds. At each round, the de…