Reinforcement Learning for Adaptive Optimal Stationary Control of Linear Stochastic Systems
Author:
Affiliation:
1. Control and Networks Lab, Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
https://ieeexplore.ieee.org/ielam/9/10084346/9767669-aam.pdf
Reference53 articles.
1. Reinforcement learning for control: Performance, stability, and deep approximators
2. Reinforcement Learning for Optimal Feedback Control
3. From Reinforcement Learning to Optimal Control: A Unified Framework for Sequential Decisions
4. Optimal and Autonomous Control Using Reinforcement Learning: A Survey
5. Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
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