Model‐free adaptive optimal control of continuous‐time nonlinear non‐zero‐sum games based on reinforcement learning
Abstract In this paper, two novel algorithms to find the Nash equilibrium solution of the non‐zero‐sum games for continuous‐time input‐affine nonlinear systems are presented. Based on integral reinforcement learning method, the integral‐exploration‐coupled Hamilton‐Jacobi (HJ) equations are derived,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Series: | IET Control Theory & Applications |
| Online Access: | https://doi.org/10.1049/cth2.12376 |