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Reinforcement learning
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#	Item
411	A subexponential lower bound for Zadeh’s pivoting rule for solving linear programs and games Oliver Friedmann Department of Computer Science, University of Munich, Add to Reading List Source URL: files.oliverfriedmann.de Language: English - Date: 2012-02-10 07:43:23 Mathematical optimization Dynamic programming Markov decision process Stochastic control Reinforcement learning Linear programming Simplex algorithm Statistics Operations research Mathematics
412	Balancing Anarchy and Central Control Individual vs. Joint Action Reinforcement Learning Daniel Claes June 18, 2010 Abstract Add to Reading List Source URL: michaelkaisers.com Language: English - Date: 2012-04-29 08:03:28 Artificial intelligence Cognitive science Machine learning Dynamic programming Markov processes Q-learning Reinforcement learning Markov decision process Temporal difference learning Statistics Science Learning
413	Reinforcement Learning Based Routing in All-Optical Networks with Physical Impairments Yvan Pointurier and Fariba Heidari Department of Electrical and Computer Engineering McGill University, Montreal, QC Email: {yvan.poi Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2007-09-19 15:25:57 Optical fiber Technology Routing and wavelength assignment Routing Fiber-optic communication
414	Syllabus Introduction Welcome and Academy history Resources for students and grads People Progress through the program levels Add to Reading List Source URL: www.academyfordogtrainers.com Language: English - Date: 2014-11-24 14:43:14 Mind Clicker training Dog training Animal training Operant conditioning Applied behavior analysis Reinforcement Classical conditioning Learning Behaviorism Behavior Ethology
415	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: 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
416	Journal of Artificial Intelligence Research Submitted 07/10; publishedA Monte-Carlo AIXI Approximation Joel Veness Add to Reading List Source URL: jveness.info Language: English - Date: 2011-01-25 03:41:25 Algorithm Machine learning Marcus Hutter Reinforcement learning
417	Monte Carlo Value Iteration with Macro-Actions Zhan Wei Lim David Hsu Wee Sun Lee Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2011-11-09 00:33:14 Stochastic control Control theory Partially observable Markov decision process Automated planning and scheduling Markov decision process Reinforcement learning Macro Algorithm Statistics Dynamic programming Markov processes
418	doi:j.geb Add to Reading List Source URL: www.luis.izqui.org Language: English - Date: 2009-07-31 18:02:39 Behavior Artificial intelligence Game theory Markov chain Reinforcement learning Asymptotic analysis Reinforcement Power law Psychology Markov models Statistics Science
419	The El Farol Bar Problem as an Iterated N-Person Game Add to Reading List Source URL: www.complex-systems.com Language: English - Date: 2013-06-19 13:03:42 Multi-agent systems El Farol Bar problem Rational choice theory Economics Agent-based model Reinforcement learning Knowledge Game theory Science Artificial intelligence
420	Coevolution of a Backgammon Player Jordan B. Pollack & Alan D. Blair Computer Science Department Volen Center for Complex Systems Brandeis University Waltham, MA 02254 Add to Reading List Source URL: www.demo.cs.brandeis.edu Language: English - Date: 1997-03-13 13:43:33 Computational neuroscience Cybernetics TD-Gammon Reinforcement learning Temporal difference learning Neural network Dice Genetic algorithm Board game Games Machine learning Backgammon

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