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Reinforcement learning
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#	Item
541	The Journal of Neuroscience, January 11, 2012 • 32(2):551–562 • 551 Behavioral/Systems/Cognitive Neural Prediction Errors Reveal a Risk-Sensitive Reinforcement-Learning Process in the Human Brain Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-01-09 13:49:05 Statistics Learning Computational neuroscience Behaviorism Classical conditioning Experimental psychology Functional magnetic resonance imaging Temporal difference learning Linear regression Cognitive science Neuroscience Science
542	December 8, :18 Connection Science Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-10-20 09:59:08 Stochastic control Control theory Partially observable Markov decision process User interfaces Dialog system Markov decision process Reinforcement learning Statistics Dynamic programming Markov processes
543	The Analysis of Verbal Behavior 2005, 21, 9–12 Ernst Moerk and the Puzzle of Zero-Trial Learning David C. Palmer, Smith College Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Philosophy of mind Verbal Behavior Reinforcement Tact Mand Psychology Applied behavior analysis Behavior analysis of child development Behaviorism Philosophy of psychology Behavior
544	JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR 1976, 26, NUMBER Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Behavior Learning Cognitive science Classical conditioning Experimental psychology Perception Reinforcement Assimilation effect Extinction Behaviorism Mind Neuroscience
545	European Journal of Neuroscience European Journal of Neuroscience, Vol. 35, pp. 1152–1168, 2012 doi:j08026.x Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-04-25 03:19:55 Dynamic programming Markov decision process Stochastic control Reinforcement learning Operant conditioning Reinforcement Temporal difference learning Statistics Behaviorism Behavior
546	Dynamic Potential-Based Reward Shaping Sam Devlin Daniel Kudenko Department of Computer Science, Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-08 10:32:01 Learning Science Dynamic programming Markov processes Stochastic control Reinforcement learning Q-learning Agent-based model Markov decision process Statistics Machine learning Behaviorism
547	Chapter 1 CHOOSING SEARCH HEURISTICS BY NONSTATIONARY REINFORCEMENT LEARNING Alexander Nareyek Computer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, USA Add to Reading List Source URL: www.ai-center.com Language: English - Date: 2005-12-27 14:08:32 Computer programming Heuristics Mathematical optimization Artificial intelligence Heuristic function Constraint satisfaction problem Heuristic Constraint optimization Local search Constraint programming Operations research Software engineering
548	CONFIDENTIAL – DO NOT DISPLAY Behavior INTERVENTION Plan For Behavior Interfering with Student’s Learning or the Learning of His/Her Peers Add to Reading List Source URL: www.pent.ca.gov Language: English - Date: 2014-01-06 14:16:54 Mind Reinforcement Learning Applied behavior analysis Positive behavior support Behaviorism Psychology Behavior
549	Low-Knowledge Algorithm Control∗ Tom Carchrae and J. Christopher Beck Cork Constraint Computation Center University College Cork, Ireland {t.carchrae, c.beck}@4c.ucc.ie Add to Reading List Source URL: tidel.mie.utoronto.ca Language: English - Date: 2006-01-18 12:07:28 Cybernetics Theoretical computer science Mathematical optimization Algorithm Mathematical logic Reinforcement learning Computational complexity theory Genetic algorithm Supervised learning Machine learning Applied mathematics Mathematics
550	Syllabus Introduction Welcome and Academy history Resources for students and grads People Progress through the program levels Add to Reading List Source URL: www.academyfordogtrainers.com Language: English - Date: 2014-11-24 14:43:14 Mind Clicker training Dog training Animal training Operant conditioning Applied behavior analysis Reinforcement Classical conditioning Learning Behaviorism Behavior Ethology

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