Reinforcement learning - PDFSEARCH.IO - Document Search Engine

Reinforcement learning
Results: 1147

#	Item
591	Analyzing Feature Generation for Value-Function Approximation Ronald Parr Christopher Painter-Wakefield Department of Computer Science, Duke University, Durham, NC[removed]USA Lihong Li Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2007-04-23 20:09:21 Mathematical optimization Dynamic programming Stochastic control Equations Numerical analysis Automatic basis function construction Reinforcement learning Proto-value functions Bellman equation Statistics Mathematics Mathematical analysis
592	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
593	Kernelized Value Function Approximation for Reinforcement Learning Gavin Taylor Ronald Parr Department of Computer Science, Duke University, Durham, NC[removed]USA Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2009-04-22 16:59:18 Normal distribution Singular value decomposition Least squares Reinforcement learning Gaussian process Proto-value functions Markov decision process Gaussian function Regularization Statistics Mathematics Regression analysis
594	Better Be Lucky Than Good: Exceeding Expectations in MDP Evaluation Thomas Keller and Florian Geißer University of Freiburg Freiburg, Germany {tkeller,geisserf}@informatik.uni-freiburg.de Add to Reading List Source URL: gki.informatik.uni-freiburg.de Language: English - Date: 2015-03-07 08:48:57 Dynamic programming Stochastic control Markov decision process Reinforcement learning Markov chain Valuation Secretary problem Statistics Markov processes Markov models
595	JEOPARDY GAME Students with language learning difficulties crave continual reinforcement of content, so review is an important component of a modified language curriculum. Jeopardy is a popular review activity, as its ca Add to Reading List Source URL: outreach.colorado.edu Language: English - Date: 2012-08-09 13:28:20
596	When Domains Require Modeling Adaptations Krol Kevin Mathias∗, Cynthia Isenhour†, Alex Dekhtyar∗ , Judy Goldsmith∗ , Beth Goldstein‡ {kevin9,Cynthia.Isenhour}@uky.edu, {dekhtyar,goldsmit}@cs.uky.edu, bethg@uky Add to Reading List Source URL: www.cs.uu.nl Language: English - Date: 2006-06-26 04:42:20 Reinforcement learning Economic model Markov decision process Design Stochastic Socialism Usability Statistics Software requirements Requirements elicitation
597	PAC Optimal Exploration in Continuous Space Markov Decision Processes Jason Pazis and Ronald Parr Department of Computer Science, Duke University Durham, NC 27708 {jpazis,parr}@cs.duke.edu Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2013-04-10 17:56:12 Reinforcement learning Markov decision process Q-learning XTR Statistics Markov models Markov processes
598	Journal of Machine Learning Research[removed]1149 Submitted 8/02; Published[removed]Least-Squares Policy Iteration Michail G. Lagoudakis Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2003-12-20 17:38:33 Dynamic programming Stochastic control Mathematical optimization Markov processes Numerical analysis Reinforcement learning Markov decision process Approximation Least squares Statistics Mathematical analysis Mathematics
599	345 Ludic Computing Lecture 12 Adaptive Games Simon Colton & Alison Pease Computational Creativity Group Add to Reading List Source URL: ccg.doc.gold.ac.uk Language: English - Date: 2013-09-18 10:00:48 Computational neuroscience Reinforcement learning Dynamic game difficulty balancing Q-learning N-gram Artificial neural network Machine learning Science Artificial intelligence
600	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

UPDATE