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Comparison of a reinforcement-learning and a biologically-motivated representation of 3D space
Author(s) -
Andrew Glennerster,
Alexander Muryy
Publication year - 2020
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/jov.20.11.384
Subject(s) - reinforcement learning , representation (politics) , projection (relational algebra) , interpolation (computer graphics) , computer science , artificial intelligence , consistency (knowledge bases) , feature vector , similarity (geometry) , feature (linguistics) , cluster analysis , space (punctuation) , orientation (vector space) , variable (mathematics) , pattern recognition (psychology) , mathematics , image (mathematics) , algorithm , politics , political science , law , operating system , mathematical analysis , linguistics , philosophy , geometry

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