Online reinforcement learning for a class of partially unknown continuous-time nonlinear systems via value iteration
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Publication:3176482
DOI10.1002/oca.2391zbMath1391.93133OpenAlexW2781176484MaRDI QIDQ3176482
Wenzhong Gao, Huaguang Zhang, Hanguang Su, Kun Zhang
Publication date: 20 July 2018
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/oca.2391
online learningvalue iterationcontinuous-time systemsapproximation dynamic programming (ADP)integral reinforcement learning (IRL)
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Control/observation systems with incomplete information (93C41) Dynamic programming (90C39) Control/observation systems governed by ordinary differential equations (93C15)
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