Multiple Model-Based Reinforcement Learning

DOI10.1162/089976602753712972zbMath0997.93037DBLPjournals/neco/DoyaSKK02OpenAlexW2168342951WikidataQ51956885 ScholiaQ51956885MaRDI QIDQ4542426

Kenji Doya, Mitsuo Kawato, Kazuyuki Samejima, Ken-Ichi Katagiri

Publication date: 4 November 2002

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

Full work available at URL: https://doi.org/10.1162/089976602753712972

zbMATH Keywords

competitioncooperationmultiple linear quadratic controllermultiple model-based reinforcement learningmultiple prediction models

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Design techniques (robust design, computer-aided design, etc.) (93B51) Linear-quadratic optimal control problems (49N10)

Related Items (18)

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Cites Work

• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
• MOSAIC Model for Sensorimotor Learning and Control
• Acquisition of stand-up behavior by a real robot using hierarchical reinforcement learning

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