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Reinforcement theory
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111	Ann Math Artif Intell DOI[removed]s10472[removed]A unifying learning framework for building artificial game-playing agents Wenlin Chen · Yixin Chen · David K. Levine Add to Reading List Source URL: www.dklevine.com Language: English - Date: 2015-02-11 05:55:08 Science Best response Normal-form game Nash equilibrium Repeated game Strategy Reinforcement learning Machine learning Outcome Game theory Problem solving Economics
112	Microsoft Word - CRAFT Brochure[removed]doc Add to Reading List Source URL: www.bhrm.org Language: English - Date: 2010-06-03 10:14:44 Substance abuse Behaviorism Community reinforcement and family training Intervention Disease theory of alcoholism William R. Miller Clinical trial SMART Recovery Medicine Health Ethics
113	The Discipline of Machine Learning Tom M. Mitchell July 2006 CMU-ML[removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-07-05 19:35:50 Education Supervised learning Reinforcement learning E-learning Statistical classification Data mining Computational learning theory Speech recognition Genetic algorithm Machine learning Learning Artificial intelligence
114	Chapter 1 Introduction 1.1 Add to Reading List Source URL: q12.org Language: English - Date: 2002-03-13 22:46:37 Control theory Neural networks Computational neuroscience Artificial intelligence Intelligent control Robot Reinforcement learning Backpropagation Industrial robot Science Cybernetics Machine learning
115	Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settings Eiji Mizutani Stuart E. Dreyfus Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2008-07-16 21:59:54 Dynamic programming Stochastic control Markov models Operations research Markov decision process Reinforcement learning Recurrent neural network Statistics Control theory Markov processes
116	Candidates’ Issue Position Chart NAME: _______________________________ DATE: _______________________ Activity: In the chart below, track the issues being addressed by the candidates – in debates, on their Websites, Add to Reading List Source URL: web.archive.org Language: English Sociology Attack ad Reinforcement theory Negative campaigning Political campaign Campaign advertising
117	Coordinated Reinforcement Learning Carlos Guestrin Computer Science Department, Stanford University, Stanford, CA[removed]Michail Lagoudakis Ronald Parr Department of Computer Science, Duke University, Durham, NC 27708 Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2012-05-29 14:42:02 Dynamic programming Markov processes Stochastic control Operations research Functions and mappings Reinforcement learning Q-learning Markov decision process Automated planning and scheduling Statistics Control theory Mathematics
118	An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement Learning Ronald Parr? Lihong Li† Gavin Taylor? Christopher Painter-Wakefield? Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2008-05-13 13:04:46 Matrix theory Functional analysis Spectral theory Automatic basis function construction Dynamic programming Proto-value functions Static single assignment form Reinforcement learning Singular value decomposition Algebra Mathematics Linear algebra
119	Trial-based Heuristic Tree Search for Finite Horizon MDPs Thomas Keller University of Freiburg Freiburg, Germany [removed] Add to Reading List Source URL: gki.informatik.uni-freiburg.de Language: English - Date: 2013-09-16 03:52:59 Operations research Control theory Mathematical optimization Reinforcement learning Heuristic function Markov decision process Search algorithm Dynamic programming Algorithm Statistics Heuristics Mathematics
120	Examining Extended Dynamic Scripting in a Tactical Game Framework Jeremy Ludwig1 and Arthur Farley2 1 Stottler Henke Associates San Mateo, CA 94404 Add to Reading List Source URL: www.stottlerhenke.com Language: English - Date: 2009-11-03 19:58:08 Programming paradigms Models of computation Artificial intelligence Complex systems theory Reinforcement learning Q-learning Markov decision process Action selection Scripting language Computing Statistics Software engineering

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