Comparison of a reinforcement-learning and a biologically-motivated representation of 3D space | Zendy

Andrew Glennerster | Zendy; Alexander Muryy | Zendy

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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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