Adaptive learning via selectionism and Bayesianism. II: The sequential case

DOI10.1016/j.neunet.2009.03.017zbMath1335.91058OpenAlexW2081408327WikidataQ39984694 ScholiaQ39984694MaRDI QIDQ280320

Jun Zhang

Publication date: 10 May 2016

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.03.017

zbMATH Keywords

reinforcement learningactor-criticconditioned reinforcement valuecredit-assignment problemincentive valuesequential decision

Mathematics Subject Classification ID

Memory and learning in psychology (91E40) Applications of statistics to psychology (62P15)

Related Items (1)

Adaptive learning via selectionism and Bayesianism. I: Connection between the two

Cites Work

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• Adaptive learning via selectionism and Bayesianism. I: Connection between the two
• A hierarchical system of learning automata that can learn the globally optimal path
• The convergence of \(TD(\lambda)\) for general \(\lambda\)
• A new approach to the design of reinforcement schemes for learning automata
• A Hierarchical System of Learning Automata

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