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Reinforcement learning
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521	PQ−Learning: An Efficient Robot Learning Method for Intelligent Behavior Acquisition Weiyu Zhu, Stephen Levinson Add to Reading List Source URL: www.isle.illinois.edu Language: English - Date: 2008-11-03 22:16:26 Computational neuroscience Neural networks Q-learning Reinforcement learning Educational psychology Artificial neural network E-learning SARSA Machine learning Education Learning
522	Available online at www.sciencedirect.com How to set the switches on this thing Peter Dayan Reinforcement learning (RL) has become a dominant computational paradigm for modeling psychological and neural Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2012-11-30 04:20:28 Cerebrum Self Motivation Attention-deficit hyperactivity disorder Prefrontal cortex Neural correlate Self control Executive functions Dopamine Cognitive science Mind Brain
523	1 Formal Theory of Creativity, Fun, and Intrinsic MotivationJ¨urgen Schmidhuber Add to Reading List Source URL: people.idsia.ch Language: English - Date: 2011-05-18 12:58:47 Cybernetics Learning Reinforcement learning Data compression Markov decision process Algorithm Motivation Asymptotically optimal algorithm Jürgen Schmidhuber Statistics Machine learning Science
524	Better Optimism By Bayes: Adaptive Planning with Rich Models Arthur Guez Gatsby Unit, UCL Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-06-23 05:46:32 Bayesian network Thompson sampling Reinforcement learning Gibbs sampling Prior probability Hyperprior Estimation theory Supervised learning Statistics Bayesian statistics Bayesian inference
525	Journal of Artificial Intelligence Research883 Submitted 06/13; publishedScalable and Efficient Bayes-Adaptive Reinforcement Learning Based on Monte-Carlo Tree Search Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2013-11-28 14:07:54 Markov models Dynamic programming Markov processes Stochastic control Reinforcement learning Markov decision process Monte Carlo method Markov chain Monte Carlo Graphical model Statistics Probability and statistics Bayesian statistics
526	Theoretical Considerations of Potential-Based Reward Shaping for Multi-Agent Systems Sam Devlin Daniel Kudenko Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-08 10:32:01 Artificial intelligence Behavior Reinforcement learning Q-learning Game theory SARSA Temporal difference learning Agent-based model Multi-agent system Statistics Behaviorism Learning
527	doi:j.neunet Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2006-10-06 10:28:08 Philosophy of psychology Shaping Classical conditioning Operant conditioning Learning Q-learning Reinforcement Amygdala Behaviorism Behavior Mind
528	ARTICLE IN PRESS Cognition xxxxxx–xxx Contents lists available at ScienceDirect Cognition Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-04-07 02:39:49 Behavioural sciences State functions Motivation Locus of control Personal life Reinforcement learning Animal model of depression Entropy Learned helplessness Social psychology Behavior Mind
529	Manuscript for “Recent Breakthroughs in Basal Ganglia Research,” Nova Science Publishers 1 Actions, Policies, Values, and the Basal Ganglia Nathaniel D. Daw, Yael Niv, and Peter Dayan Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2005-05-19 15:34:52 Midbrain Human behavior Cerebrum Cognition Dopamine Striatum Reinforcement learning Temporal difference learning Substantia nigra Brain Cognitive science Basal ganglia
530	States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2010-10-23 16:03:54 Medicine Cognitive science Functional magnetic resonance imaging Magnetic resonance imaging Reinforcement learning Single-unit recording Dopamine Perceptual learning Mind Neuroimaging Neuroscience

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