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Reinforcement theory
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141	Wisdom of the Crowds vs. Groupthink: Learning in Groups and in Isolation Conor Mayo-Wilson, Kevin Zollman, and David Danks November 30, 2010 Technical Report No. CMU-PHIL-188 Philosophy Add to Reading List Source URL: www.hss.cmu.edu Language: English - Date: 2010-11-30 14:12:58 Science Multi-armed bandit Stochastic optimization Game theory Reinforcement learning Determinacy Structure Statistics Mathematics Machine learning
142	MARKOV LEARNING MODELS FOR MULTIPERSON SITUATIONS, I. THE THEORY BY PATRICK SUPPES AND RICHARD C. ATKINSON Add to Reading List Source URL: suppes-corpus.stanford.edu Language: English - Date: 2008-10-14 20:48:55 Educational psychology Psychological theories Behavioural sciences Behaviorism Developmental psychology Learning theory Reinforcement Game theory Social psychology Education Behavior Science
143	The Study of Political Campaigns Henry E. Brady, Richard Johnston, and John Sides D Add to Reading List Source URL: home.gwu.edu Language: English - Date: 2007-05-18 13:04:00 Political campaign Communication Elections in the United States Attack ad Campaign advertising Politics Sociology Reinforcement theory Agenda-setting theory Communication theory Media studies Priming
144	Reinforcement Learning in POMDPs Without Resets Eyal Even-Dar Sham M. Kakade School of Computer Science Computer and Information Science University of Pennsylvania Tel-Aviv University Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:37:28 Dynamic programming Stochastic control Markov models Partially observable Markov decision process Markov decision process Markov chain Reinforcement learning Statistics Markov processes Control theory
145	Human Behavior Modeling with Maximum Entropy Inverse Optimal Control Brian D. Ziebart, Andrew Maas, J.Andrew Bagnell, and Anind K. Dey School of Computer Science Carnegie Mellon University Pittsburgh, PA[removed]bziebart@c Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-07-28 15:01:21 Bayesian statistics Graphical models Statistical models Markov models Markov chain Reinforcement learning Bayesian network Markov decision process Maximum likelihood Statistics Probability and statistics Statistical theory
146	1972, 17, [removed]JOURNAL OF THE EXPERIMENTAL ANALYSIS OF BEHAVIOR NUMBER Add to Reading List Source URL: www.ncbi.nlm.nih.gov Language: English Behaviorism Science Neal E. Miller Experimental analysis of behavior Motivation Robert A. Rescorla Reinforcement Learning theory Classical conditioning Behavior Psychology Experimental psychology
147	Policy Search for Motor Primitives in Robotics Jens Kober, Jan Peters Max Planck Institute for Biological Cybernetics Spemannstr[removed]Tübingen, Germany Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2009-01-13 06:30:39 Mind Computational neuroscience Neural networks Reinforcement learning Expectation–maximization algorithm Artificial neural network Fisher information Motor learning Statistics Machine learning Estimation theory
148	The Opponent-Process Theory of Acquired Motivation The Costs of Pleasure and the Benefits of Pain RICHARD L. SOLOMON University of Pennsylvania ABSTRACT: When an unconditioned stimulus, a Add to Reading List Source URL: gettingstronger.org Language: English - Date: 2010-04-23 22:35:50 Behaviorism Learning Mental processes Experimental psychology Emotions Reinforcement Operant conditioning Affect Opponent-process theory Mind Behavior Philosophy of mind
149	Planning-based Prediction for Pedestrians Brian D. Ziebart1 Nathan Ratliff1 Garratt Gallagher1 Christoph Mertz1 Kevin Peterson1 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-10-08 23:01:33 Mathematical optimization Cybernetics Markov models Control theory Stochastic control Reinforcement learning Bellman equation Motion planning Kalman filter Statistics Dynamic programming Systems theory
150	Table of Contents Invited Presentations Random Multivariate Search Trees Luc Devroye . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2006-06-13 07:36:33 Computational learning theory Theoretical computer science Manfred K. Warmuth Supervised learning Stability Reinforcement learning Perceptron Least squares Machine learning Learning Artificial intelligence