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Toward high-performance, memory-efficient, and fast reinforcement learning-Lessons from decision neuroscience.
Lee, Jee Hang; Seymour, Ben; Leibo, Joel Z; An, Su Jin; Lee, Sang Wan.
Afiliação
  • Lee JH; Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
  • Seymour B; KAIST Institute for Health Science and Technology, Daejeon, Republic of Korea.
  • Leibo JZ; Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ, UK. bjs49@cam.ac.uk sangwan@kaist.ac.kr.
  • An SJ; Brain Information Communication Research Laboratory Group, Advanced Telecommunications Research Institute International, Kyoto, Japan.
  • Lee SW; Center for Information and Neural Networks, National Institute of Information and Communications Technology, 1-4 Yamadaoka, Suita, Osaka 565-0871, Japan.
Sci Robot ; 4(26)2019 01 16.
Article em En | MEDLINE | ID: mdl-33137757
Recent insights from decision neuroscience raise hope for the development of intelligent brain-inspired solutions to robot learning in real dynamic environments full of noise and unpredictability.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article