<italic>H<sub>&#x221E;</sub></italic> Control for Discrete-Time Multi-Player Systems via Off-Policy Q-Learning

<italic>H<sub>&#x221E;</sub></italic> Control for Discrete-Time Multi-Player Systems via Off-Policy Q-Learning

This paper presents a novel off-policy game Q-learning algorithm to solve H<sub>&#x221E;</sub> control problem for discrete-time linear multi-player systems with completely unknown system dynamics. The primary contribution of this paper lies in that the Q-learning strategy employed i...

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Bibliographic Details
Main Authors: Jinna Li, Zhenfei Xiao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">H</italic>∞ control
off-policy Q-learning
game theory
Nash equilibrium
Online Access:https://ieeexplore.ieee.org/document/8977468/

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https://ieeexplore.ieee.org/document/8977468/

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