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Reinforcement theory
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#	Item
41	An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning arXiv:1503.04269v1 [cs.LG] 14 MarRichard S. Sutton Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-03-16 20:16:49 Algebra Linear algebra Mathematics Markov models Markov processes Matrix theory Matrices Q-learning Markov chain Matrix Reinforcement learning Temporal difference learning
42	Two-Sided Bandits and the Dating Market Sanmay Das Center for Biological and Computational Learning and Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology Cambridge, MA 02139 Add to Reading List Source URL: faculty.chicagobooth.edu Language: English - Date: 2006-08-08 10:56:19 Matching Combinatorics Game theory Fellows of the Econometric Society Cooperative games Stable marriage problem CC Reinforcement learning Multi-armed bandit Alvin E. Roth Greedy algorithm Algorithm
43	! 1 A Proposal to AITF iCORE by Richard Sutton to Fund Add to Reading List Source URL: incompleteideas.net Language: English - Date: 2013-09-19 19:53:13 Computational neuroscience Cybernetics Belief revision Reinforcement learning Machine learning Artificial neural network Artificial intelligence Andrew Barto Google DeepMind Robotics Reinforcement Learning theory
44	Integrating experimental and observational personality research – the contributions of Hans Eysenck William Revelle and Katherine Oehlberg Northwestern University A fundamental aspect of Hans Eysenck’s research was h Add to Reading List Source URL: personality-project.org Language: English - Date: 2008-03-30 18:50:42 Personality traits Hans Eysenck Reinforcement sensitivity theory Extraversion and introversion Trait theory Arousal MyersBriggs Type Indicator Personality Psychology William Revelle Eysenck Big Five personality traits
45	The Contribution of Reinforcement Sensitivity Theory to Personality Theory William Revelle Northwestern UniversityTo appear in P. Corr (Ed) Reinforcement Sensitivity Theory of Personality Add to Reading List Source URL: www.personality-project.org Language: English - Date: 2007-08-15 13:02:06
46	Markov-optimal Sensing Policy for User State Estimation in Mobile Devices ∗ Yi Wang† , Bhaskar Krishnamachari† , Qing Zhao‡ , Murali Annavaram† Add to Reading List Source URL: ceng.usc.edu Language: English - Date: 2010-03-29 16:49:49 Markov models Markov processes Probability theory Probability Mathematical analysis Markov chain Markov decision process Hidden Markov model Reinforcement learning Markov property
47	Statistical Learning Theory in Reinforcement Learning & Approximate Dynamic Programming A. Lazaric & M. Ghavamzadeh (INRIA Lille – Team SequeL) ICML 2012 INRIA Lille – Team SequeL Add to Reading List Source URL: chercheurs.lille.inria.fr Language: English - Date: 2012-06-25 05:06:50
48	Teaching with Rewards and Punishments: Reinforcement or Communication? Mark K Ho () Department of Cognitive, Linguistic, and Psychological Sciences, 190 Thayer St. Providence, RIUSA Michael L. Li Add to Reading List Source URL: cushmanlab.fas.harvard.edu Language: English - Date: 2015-04-26 18:55:56 Behavior Knowledge Human behavior Feedback Motivation Machine learning Dog training E-learning Positive feedback Education Control theory Cybernetics
49	Impacts of media violence on violence against women Media Violence as a Causal Agent for Violence Against Women Through Desensitization, Reinforcement of Gender Roles for Women, and Social Learning Theory. Media Violence Add to Reading List Source URL: eagle-essays.com Language: English - Date: 2015-03-10 11:24:36 Human behavior Dispute resolution Gender-based violence Bullying Violence Media violence research Desensitization Aggression Domestic violence Behavior Ethics Abuse
50	Reinforcement Learning by Reward-weighted Regression for Operational Space Control Jan Peters Max-Planck Institute for Biological Cybernetics, 72074 Tuebingen, Germany Add to Reading List Source URL: www-clmc.usc.edu Language: English - Date: 2011-01-31 11:48:40 Estimation theory Reinforcement learning Expectation–maximization algorithm Linear regression Humanoid robot Supervised learning Stability Q-learning Statistics Machine learning Learning