4 papers
Reinforcement Learning-based Output Structured Feedback for Distributed Multi-Area Power System Frequency Control
Kyung-bin Kwon, Sayak Mukherjee, Hao Zhu +1
Load frequency control (LFC) is a key factor to maintain the stable frequency in multi-area power systems. As the modern power systems evolve from centralized to distributed paradi…
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
We develop a model-free learning algorithm for the infinite-horizon linear quadratic regulator (LQR) problem. Specifically, (risk) constraints and structured feedback are considere…
Achieving Optimal Output Consensus for Discrete-time Linear Multi-agent Systems with Disturbance Rejection
Yutao Tang, Hao Zhu, Xiaoyong Lv
In this paper, an optimal output consensus problem is studied for discrete-time linear multiagent systems subject to external disturbances. Each agent is assigned with a local cost…
Global Convergence of Policy Gradient Methods to (Almost) Locally Optimal Policies
Kaiqing Zhang, Alec Koppel, Hao Zhu +1
Policy gradient (PG) methods are a widely used reinforcement learning methodology in many applications such as video games, autonomous driving, and robotics. In spite of its empiri…