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Reinforcement Learning I: prediction and classical conditioning Peter Dayan Gatsby Computational Neuroscience Unit [email protected] (thanks to Yael.
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REMERGE: A new approach to the neural basis of generalization and memory-based inference Dharshan Kumaran, UCL Jay McClelland, Stanford University.
Bart Hufen BrandNewGame at MIE 2012 IN Ipsos synovate 2 feb 2012
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A Fuzzy System for Educational Tasks for Children with Reading Disabilities
Learning Theories
The Competitive Nature of Declarative and Nondeclarative Memory Systems AKKrupa
Global plan Reinforcement learning I: –prediction –classical conditioning –dopamine Reinforcement learning II: –dynamic programming; action selection –Pavlovian.
Learning Theories Damian Gordon. Contents Behaviourism Cognitivism Constructivism.
