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Reinforcement learning
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331	Preference Elicitation and Inverse Reinforcement Learning Constantin A. Rothkopf1 and Christos Dimitrakakis2 1 Frankfurt Institute for Advanced Studies, Frankfurt, Germany Add to Reading List Source URL: fias.uni-frankfurt.de Language: English - Date: 2011-09-12 02:25:37
332	Intro to Reinforcement Learning Intro to Dynamic Programming DP algorithms Add to Reading List Source URL: researchers.lille.inria.fr Language: English - Date: 2013-10-23 09:40:45
333	Autonomous Nondeterministic Tour Guides: Improving Quality of Experience with TTD-MDPs Andrew S. Cantino, David L. Roberts, Charles L. Isbell College of Computing Georgia Institute of Technology Atlanta, GA Add to Reading List Source URL: andrewcantino.com Language: English - Date: 2013-06-09 23:56:45 Probability Belief revision Reinforcement learning Markov decision process Guide Museum Leisure
334	Comparative Evaluation of Reinforcement Learning with Scalar Rewards and Linear Regression with Multidimensional Feedback Petar Kormushev and Darwin G. Caldwell Department of Advanced Robotics, Istituto Italiano di Tecno Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2013-09-12 15:00:47
335	JMLR: Workshop and Conference Proceedings 0:1–9, 2015 12th European Workshop on Reinforcement Learning Parallel Reinforcement Learning with State Action Space Partitioning Add to Reading List Source URL: ewrl.files.wordpress.com Language: English - Date: 2015-06-22 05:16:09
336	Weighted importance sampling for off-policy learning with linear function approximation A. Rupam Mahmood, Hado van Hasselt, Richard S. Sutton Reinforcement Learning and Artificial Intelligence Laboratory University of Al Add to Reading List Source URL: ualberta.ca Language: English - Date: 2014-11-04 21:28:59
337	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
338	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
339	Multiobjective Reinforcement Learning Using Adaptive Dynamic Programming And Reservoir Computing Mohamed Oubbati, Timo Oess, Christian Fischer, and G¨unther Palm Institute of Neural Information Processing, 89069 Ulm, Ge Add to Reading List Source URL: www.ke.tu-darmstadt.de Language: English - Date: 2013-09-12 15:00:47
340	Representation Search through Generate and Test Ashique Rupam Mahmood, Richard S. Sutton Department of Computing Science Reinforcement Learning and Artificial Intelligence Laboratory University of Alberta, Edmonton, Albe Add to Reading List Source URL: ualberta.ca Language: English - Date: 2014-07-09 15:10:43

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