Off-policy based adaptive dynamic programming method for nonzero-sum games on discrete-time system
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Publication:2198700
DOI10.1016/j.jfranklin.2020.05.038zbMath1447.93205OpenAlexW3033023361MaRDI QIDQ2198700
Huaguang Zhang, He Ren, Kun Zhang, Yinlei Wen
Publication date: 15 September 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.05.038
2-person games (91A05) Applications of game theory (91A80) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05)
Related Items (2)
Off‐policy integral reinforcement learning‐based optimal tracking control for a class of nonzero‐sum game systems with unknown dynamics ⋮ Event‐triggered neural experience replay learning for nonzero‐sum tracking games of unknown continuous‐time nonlinear systems
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