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University of Durham
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#	Item
381	Generalized Value Functions for Large Action Sets Jason Pazis Ronald Parr Department of Computer Science, Duke University, Durham, NC[removed]USA Abstract Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2011-05-11 14:49:02 Dynamic programming Abstract algebra Linear algebra Stochastic control Markov processes Markov decision process Reinforcement learning Function Q-learning Mathematics Algebra Statistics
382	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
383	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
384	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
385	SAMPLE – Formatting of your letter should match the red boxes (do not include the actual red boxes) 16 October 2013 Prof James Moriarty Dean, College of Mathematics and Sciences Add to Reading List Source URL: www.ritsumei.ac.jp Language: English* - Date: 2013-10-11 02:25:11 Sebastian Moran Moran Durham University
386	Sample Complexity and Performance Bounds for Non-parametric Approximate Linear Programming 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 Systems theory Dynamic programming Equations Operations research Stochastic control Lipschitz continuity Optimal control S0 Markov decision process Statistics Mathematical optimization Control theory
387	DP-SLAM 2.0 Austin I. Eliazar and Ronald Parr Department of Computer Science Duke University Durham, North Carolina[removed]Email: {eliazar,parr}@cs.duke.edu Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2004-03-01 01:22:13 Robot navigation Estimation theory Robot control Linear filters Simultaneous localization and mapping Statistical mechanics Occupancy grid mapping Kalman filter Particle filter Statistics Probability and statistics Applied mathematics
388	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
389	Introducing Computer Science Through Animation and Virtual Worlds Susan H. Rodger∗ Department of Computer Science Duke University Durham, NC 27705 Add to Reading List Source URL: www.cs.duke.edu Language: English - Date: 2001-12-12 15:46:23 StarLogo Alice Logo Virtual world Karel Robot Animation E-learning Sorting algorithm Educational software Computing Visual programming languages
390	Reinforcement Learning as Classification: Leveraging Modern Classifiers Michail G. Lagoudakis 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: 2003-12-20 17:25:46 Dynamic programming Markov processes Stochastic control Reinforcement learning Support vector machine Markov decision process Supervised learning Temporal difference learning Policy Statistics Machine learning Statistical classification

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