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Reinforcement theory
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81	Expectation Maximization for Weakly Labeled Data Yuri Ivanov MIT Media Laboratory, 20 Ames St., E15-390, Cambridge, MA 02139, USA Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2003-06-30 17:21:48 Maximum likelihood Kullback–Leibler divergence M-estimator Likelihood function Reinforcement learning Divergence Multi-armed bandit Marginal likelihood Extremum estimator Statistics Estimation theory Expectation–maximization algorithm
82	OF Robotics and Autonomous Systems–15 Solving weak transduction with expectation maximization Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2002-10-28 22:52:26 Statistical theory M-estimators Expectation–maximization algorithm Missing data Reinforcement learning Likelihood function Kullback–Leibler divergence Maximum likelihood Conjugate prior Statistics Estimation theory Bayesian statistics
83	Editors’ Introduction Sanjay Jain, R´emi Munos, Frank Stephan, and Thomas Zeugmann The aim of the series of conferences on Algorithmic Learning Theory (ALT) is to look at learning from algorithmic and mathematical per Add to Reading List Source URL: www-alg.ist.hokudai.ac.jp Language: English - Date: 2014-03-14 14:24:08 Artificial intelligence Theoretical computer science Learning Probably approximately correct learning Inductive inference Active learning Algorithm Reinforcement learning Book:Machine Learning - The Complete Guide Machine learning Computational learning theory Applied mathematics
84	Call for Papers: ALT 2009 The 20th International Conference on Algorithmic Learning Theory University of Porto, Portugal, October 3 - 5, 2009 The 20th International Conference on Algorithmic Learning Theory (ALTwi Add to Reading List Source URL: www-alg.ist.hokudai.ac.jp Language: English - Date: 2014-03-14 14:24:03 Computational learning theory Theoretical computer science Reinforcement learning Inductive inference Computer science Avrim Blum Boosting Machine learning Learning Artificial intelligence
85	Call for Papers: ALT 2008 The 19th International Conference on Algorithmic Learning Theory Hotel Budapest, Budapest, Hungary, October, 2008 The 19th International Conference on Algorithmic Learning Theory (ALT 20 Add to Reading List Source URL: www-alg.ist.hokudai.ac.jp Language: English - Date: 2014-03-14 14:23:59 Computational learning theory Theoretical computer science Reinforcement learning Inductive inference Boosting Computer science Machine learning Artificial intelligence Learning
86	Call for Papers: ALT 2007 The 18th International Conference on Algorithmic Learning Theory Sendai International Center, Sendai, Japan, October 1 - 4, 2007 The 18th International Conference on Algorithmic Learning Theory Add to Reading List Source URL: www-alg.ist.hokudai.ac.jp Language: English - Date: 2014-03-14 14:23:57 Computational learning theory Learning Cybernetics Boosting Inductive inference Marcus Hutter Reinforcement learning Algorithm IDSIA Machine learning Artificial intelligence Theoretical computer science
87	A Probabilistic Framework for Model-Based Imitation Learning Aaron P. Shon, David B. Grimes, Chris L. Baker, and Rajesh P.N. Rao {aaron, grimes, clbaker, rao}@cs.washington.edu CSE Department, BoxUniversity of Wa Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-07-15 11:44:05 Bayesian statistics Cognitive science Motor control Social learning theory Cognitive neuroscience Mirror neuron Reinforcement learning Graphical model Imitation Statistics Neuroscience Ethology
88	Journal of Artificial Intelligence Research Submitted 3/13; publishedA Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-10-18 15:20:49 Systems theory Mathematical optimization Operations research Equations Stochastic control Reinforcement learning Markov decision process Bellman equation Policy Statistics Control theory Dynamic programming
89	doi:j.tics Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2006-07-26 08:03:55 Motivation Cognition Experimental psychology Human behavior Cerebrum Expectancy theory Dopamine Striatum Reinforcement Behavior Mind Cognitive science
90	Stable Dual Dynamic Programming Tao Wang Daniel Lizotte Michael Bowling Dale Schuurmans Department of Computing Science Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2007-10-21 19:53:48 Convex optimization Mathematical optimization Number theory Topological groups Markov decision process Linear programming Reinforcement learning Representation theory Μ operator Mathematics Algebra Operations research

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