
Model averaging as a developmental outcome of reinforcement learning.
Author(s) -
Jochen Triesch
Publication year - 2010
Publication title -
frontiers in neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.499
H-Index - 102
eISSN - 1662-4548
pISSN - 1662-453X
DOI - 10.3389/conf.fnins.2010.03.00245
Subject(s) - reinforcement learning , outcome (game theory) , computer science , event (particle physics) , bayesian probability , bayesian inference , artificial intelligence , reinforcement , machine learning , task (project management) , stimulus modality , process (computing) , modalities , matching (statistics) , psychology , cognitive psychology , sensory system , statistics , mathematics , social psychology , social science , physics , management , mathematical economics , quantum mechanics , sociology , economics , operating system