{"id":212,"date":"2010-08-17T15:40:37","date_gmt":"2010-08-17T15:40:37","guid":{"rendered":"http:\/\/fs-s-wpmu-02.facsci.ualberta.ca\/rlai\/?page_id=212"},"modified":"2010-08-17T15:40:37","modified_gmt":"2010-08-17T15:40:37","slug":"rlai-library-books","status":"publish","type":"page","link":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/resources\/rlai-library-books\/","title":{"rendered":"RLAI Library (Internal)"},"content":{"rendered":"

The RLAI Lab Library \u00a0is a collection of books which may be checked out by members of the RLAI group at the University of Alberta. The library primarily contains academic textbooks and collections, though it also contains technical references and manuals, in addition to some non-technical resources. The RLAI Lab Library is located in CSC 3-05.<\/p>\n

Using the Library<\/h2>\n

Finding books<\/h3>\n
    \n
  1. To find a book, check the online library below.<\/li>\n
  2. Look for it on the shelf.<\/li>\n
  3. If it is not on the shelf, check the card file to determine who has it checked out.<\/li>\n<\/ol>\n

    Checking out books<\/h3>\n

    To check out a book, remove its card and write your name and the current date on the card. Place the card in the brown card file, which is located on the same shelf as the books. You must check out any book that leaves the library area.<\/p>\n

    Returning books<\/h3>\n

    To return a book, remove the appropriate card from the brown card file and write the return date upon it. Place the card back inside the book and return the book to the shelf.<\/p>\n

    Requesting books<\/h3>\n

    To request a book, email the title of the book and a brief rationale for the inclusion of the book in the library to Lori Troop<\/a> and cc your supervisor. \u00a0If the book is appropriate and necessary for the library, it will be ordered.<\/p>\n

    Library Index<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
    Title<\/th>\nAuthor<\/th>\nPublisher<\/th>\nCopies<\/th>\n<\/tr>\n
    Absolute C++ (First Edition)<\/td>\nWalter Savitch<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    A Course in Functional Analysis
    \n2nd edition<\/td>\n    		John B. Conway<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Adaptive Algorithms and Stochastic Approximations<\/td>\nAlbert Benveniste, Michel Metivier, Pierre Priouret<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Algorithms for Reinforcement Learning<\/td>\nCsaba Szepesvari<\/td>\nMorgan & Claypool<\/td>\n2<\/td>\n<\/tr>\n
    All of Statistics<\/td>\nL. Wasserman<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    An Introduction to the Approximation of Functions<\/td>\nTheodore J. Rivlin<\/td>\nDover Publications<\/td>\n1<\/td>\n<\/tr>\n
    An Invitation to Computer Science (Second Edition)<\/td>\nG. Michael Schneider, Judith L. Gersting<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    ANSI Common Lisp<\/td>\n<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Applications of Mathematics – Stochastic Modelling and Applied Probability-
    \nRandom Iterative Models<\/td>\n    		Marie Duflo<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Applied Multivariate Statistical Analysis (Fifth Edition)<\/td>\nRichard A. Johnson, Dean W, Wichern<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Approximate Dynamic\u00a0 Programming
    \nSolving the Curses of Dimensionality<\/td>\n    		Warren B. Powell<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Approximation of Large-Scale Dynamical Systems<\/td>\nAthanasios C. Antoulas<\/td>\nSociety for Industrial and Applied Mathematic<\/td>\n1<\/td>\n<\/tr>\n
    The Approximation of Functions<\/td>\nJohn R. Rice<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Approximation Theory
    \n1st edition<\/td>\n    		Ole Christensen, Khadija L. Christensen<\/td>\nBirkhauser<\/td>\n1<\/td>\n<\/tr>\n
    Artificial Intelligence<\/td>\nElaine Rich<\/td>\nMcGraw Hill<\/td>\n1<\/td>\n<\/tr>\n
    Artificial Intelligence A Modern Approach
    \n2nd edition<\/td>\n    		Stuart Russell, Peter Norvig<\/td>\nPrentice Hall<\/td>\n2<\/td>\n<\/tr>\n
    Artficial Intelligence In Perspective<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Bash Cookbook<\/td>\nCarl Albing, JP Vossen, Cameron Newham<\/td>\nO’Reilly<\/td>\n1<\/td>\n<\/tr>\n
    Beyond the Kalman Filter – Particle Filters for Tracking Applications<\/td>\nBranko Ristic, Sanjeev Arulampalam, Neil Gordon<\/td>\nArtech House Publishers<\/td>\n1<\/td>\n<\/tr>\n
    Brain-Like Computing and Intelligent Information Systems<\/td>\nShun-ichi Amari, Nikola Kasabov<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
    C++ How To Program (starring the Standard Template Library)<\/td>\nDeitel & Deitel<\/td>\nPrentice Hall<\/td>\n1<\/td>\n<\/tr>\n
    C++ The Complete Reference (Third Edition)<\/td>\nHerbert Schildt<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
    Code Complete 2nd edition<\/td>\nS. McConnell<\/td>\nMicrosoft Press<\/td>\n1<\/td>\n<\/tr>\n
    A Compendium of Machine Learning Volume 1: Symbolic Machine Learning<\/td>\nGarry Briscoe and Terry Caelli<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Computational Intelligence: A Logical Approach<\/td>\nDavid Poole, Alan Mackworth, Randy Goebel<\/td>\nOxford University Press<\/td>\n1<\/td>\n<\/tr>\n
    Computer Systems<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Concept Core Reading<\/td>\nEric Margolis, Stephen Laurence<\/td>\nThe MIT Press<\/td>\n1<\/td>\n<\/tr>\n
    Concepts In Probability And Stochastic Modeling<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Continuous Multivariate Distributions Vlo. 1
    \n2nd edition<\/td>\n    		Samuel Kotz, N. Balakrishnan, Norman L. Johnson<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Continuous Univariate Distributions\u00a0 Vol. 1
    \n2nd edition<\/td>\n    		Norman L. Johnson, Samuel Kotz, N. Balakrishnan<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Continuous Univariate Distributions\u00a0 Vol. 2
    \n2nd edition<\/td>\n    		Norman L. Johnson, Samuel Kotz, N. Balakrishnan<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Convex Analysis and Optimization<\/td>\nD.P. Bertsekas<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Convex Optimization<\/td>\nStephen Boyd, Lieven Vandenberghe<\/td>\nCambridge University Press<\/td>\n1<\/td>\n<\/tr>\n
    Convex Optimization Theory<\/td>\nDimitri P. Bertsekas<\/td>\nAthena Scientific<\/td>\n1<\/td>\n<\/tr>\n
    Cybernetics Circular Causal and Feedback Mechanisms in Biological and Social Systems<\/td>\nHans Lukas Teuber<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Cybernetics (or Control and Communication in Animal and the Machine)<\/td>\nNorbert Wiener<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Data Structures and Algorithms<\/td>\nAlfred V. Aho<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Data Structures And Algorithms In Java
    \n2nd edition<\/td>\n    		<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Discrete Mathematical Structures<\/td>\nKolman, Busby, Ross<\/td>\nPrentice Hall<\/td>\n1<\/td>\n<\/tr>\n
    Discrete Multivariatte Eistributions
    \n1st edition<\/td>\n    		Norman L. Johnson, Samuel Kotz, N. Balakristhnan<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Distributed Operating Systems & Algorithms<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Dyamic programming & Optimal control Vol 1
    \n3rd edition<\/td>\n    		D.P. Bertsekas<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Dyamic programming & Optimal control Vol 2
    \n2nd edition<\/td>\n    		D.P. Bertsekas<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Elementary Numerical Analysis<\/td>\nS.D. Conte<\/td>\n<\/td>\n<\/td>\n<\/tr>\n
    Elements of Information Theory<\/td>\nThomas M. Cover<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Evaluating Learning Algorithms \u00a0A Classification Perspective<\/td>\nNathalie Japkowics, Mohak Shah<\/td>\nCambridge University Press<\/td>\n1<\/td>\n<\/tr>\n
    Evolution, Games and Learning
    \n-Models for Adaptation in Machines and Nature-<\/td>\n    		Doyne Farmer, Alan Lapedes, Norman Packard and Burton Wendroff<\/td>\nNorth-Holland Amsterdam<\/td>\n1<\/td>\n<\/tr>\n
    Evolution, Learning and Cognition<\/td>\nY.C.Lee<\/td>\nWorld Scientific<\/td>\n1<\/td>\n<\/tr>\n
    Factorization Methods for Discrete Sequential Estimation<\/td>\nGerald J. Bierman<\/td>\nDover Publications<\/td>\n1<\/td>\n<\/tr>\n
    Foundations of Modern Probability
    \n2nd edition<\/td>\n    		Olav Kallenberger<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Fundamentals of Adaptive Filtering<\/td>\nAli H. Sayed<\/td>\nWiley-IEEE Press<\/td>\n1<\/td>\n<\/tr>\n
    Fundamentals of Artificial Neural Networks<\/td>\nMohamad H. Hassoun<\/td>\nThe MIT Press<\/td>\n1<\/td>\n<\/tr>\n
    Game Theory Evolving<\/td>\nHerbert Gintis<\/td>\nPrinceton University Press<\/td>\n1<\/td>\n<\/tr>\n
    Garner’s Modern American Usage<\/td>\nB.A.Garner<\/td>\nOxford University Press<\/td>\n1<\/td>\n<\/tr>\n
    Gaussian Processes for Machine Learning<\/td>\nC.E.Rasmussen and C.K.I.Williams<\/td>\nThe MIT Press<\/td>\n1<\/td>\n<\/tr>\n
    GENETIC Programming<\/td>\nJohn R. Koza<\/td>\nThe MIT Press<\/td>\n1<\/td>\n<\/tr>\n
    Goal\u00a0 Seeking Components for Adaptive Intellgence:\u00a0 An Initial\u00a0 Assessment<\/td>\nA.G. Barto, R.S. Sutton<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    The Handbook of Artificial Intelligence<\/td>\nAvron Barr & Edward A. Feigenbaum<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Human Associative Memory (Course Notes)<\/td>\nJ. R. Anderson & G. H. Bower<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Inequalities
    \n2nd edition<\/td>\n    		G.H. Hardy, J.E. Lttlewood, G. Polya<\/td>\nCambridge University Press<\/td>\n1<\/td>\n<\/tr>\n
    Information Theory, Inference, and Learning Algorithms<\/td>\nD.J.C.Mackay<\/td>\nCambridge<\/td>\n1<\/td>\n<\/tr>\n
    Introduction To Algorithems
    \n2nd edition<\/td>\n    		<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Introduction to Approximation Theory
    \n2nd edition<\/td>\n    		E. W. Cheney<\/td>\nAmer Mathematical Society<\/td>\n1<\/td>\n<\/tr>\n
    Introduction to Artificial Intelligence and Expert Systems<\/td>\nDan W. Patterson<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Introduction To Linear Algebra
    \n2nd edition<\/td>\n    		<\/td>\n<\/td>\n3<\/td>\n<\/tr>\n
    Introduction to Machine Learning<\/td>\nEthem Alpaydin<\/td>\nThe MIT Press<\/td>\n2<\/td>\n<\/tr>\n
    Introduction to Stochastic Search and Optimization
    \n1st edition<\/td>\n    		James C. Spall<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Introduction to Time Series and Forecasting
    \n2nd edition<\/td>\n    		Peter J. Brockwell, Richard A. Davis<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Introduction to Wavelets and Wavelets Transforms<\/td>\nC. Sidney Burrus, C. Sidney Burrus, Ramesh A. Gopinath<\/td>\nPrentice Hall<\/td>\n1<\/td>\n<\/tr>\n
    Introductory Lectures On Convex Optimization – A Basic Course<\/td>\nYurii Nesterov<\/td>\nKluwer Academic Publishers<\/td>\n2<\/td>\n<\/tr>\n
    Learning: Animal Behaviour and Human Cognition<\/td>\nFrank Restle<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Learning Bayesian Networks<\/td>\nRichard E. Neapolitan,<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Learning in Graphical Models<\/td>\nMichael Jordan<\/td>\nMIT Press<\/td>\n1<\/td>\n<\/tr>\n
    Learning with Kernels<\/td>\nScholkopf and Smola<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Learning Python
    \n2nd edition<\/td>\n    		<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Linear Regression Analysis – 2nd Edition<\/td>\nGeorge A.F. Seber, Alan J.Lee<\/td>\nWiley Interscience<\/td>\n1<\/td>\n<\/tr>\n
    MAC OS X Help Line<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Machine Learning<\/td>\nJebara, Tony,<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Machine Learning and Data Mining
    \n-Methods and Applications-<\/td>\n    		Ryszard S. Michalski, Ivan Bratko and Miroslav Kubat<\/td>\nWiley<\/td>\n1<\/td>\n<\/tr>\n
    Mathematics of Statistics (Part 1)<\/td>\nKenney<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB&SIMULINK-Installation Guide for Mac OS X<\/td>\n<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB&SIMULINK-Installation Guide for UNIX<\/td>\n<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB-The Language of Technical Computing
    \nDesktop Tools and Development Environment<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB-The Language of Technical Computing
    \nGetting Started with MATLAB<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB-The Language of Technical Computing
    \nMathematics<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB-The Language of Technical Computing
    \nProgramming<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    MATLAB-The Language of Technical Computing
    \nUsing MATLAB Graphics<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    Markov Chains and Invariant Probabilities<\/td>\nOnesimo Hernandez-Lerma, Jean B. Lasserre<\/td>\nBirkhauser Basel<\/td>\n1<\/td>\n<\/tr>\n
    Markov Decision processes<\/td>\nM. Puterman<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Markov Processes:\u00a0 Characterization and Convergence
    \n2nd edition<\/td>\n    		Stewart N. Ethier, Thomas G. Kurtz<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Matrix Analysis<\/td>\nRoger A. Horn, Charles R. Johnson<\/td>\nCambridge<\/td>\n1<\/td>\n<\/tr>\n
    Matrix Computations
    \n3rd edition<\/td>\n    		Gene H. Golub<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Measure Theory<\/td>\nJoseph Doob<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Monte Carlo Methods in Financial Engineering<\/td>\nP. Glasserman<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Monte Carlo Statistical Methods
    \n2nd edition<\/td>\n    		Christian P. Robert, George Casella<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Motivated Reinforcement Learning<\/td>\nK. E. Merrick, M. L. Maher<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Neural Networks for Control<\/td>\nRich Sutton and Paul J. Werbos<\/td>\nA Bradford Book<\/td>\n1<\/td>\n<\/tr>\n
    Neural Network Learning:\u00a0 Theoretical Foundations
    \n1st edition<\/td>\n    		Martin Anthony, Peter L. Bartlett<\/td>\nCambridge University Press<\/td>\n1<\/td>\n<\/tr>\n
    Neural Network Toolbox-For Use with MATLAB
    \nUser’s Guide<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n<\/td>\n<\/tr>\n
    Neuro-dynamic programming<\/td>\nBertsekas & Tsitsiklis<\/td>\nAthena Scientific<\/td>\n2<\/td>\n<\/tr>\n
    Nonlinear and Adaptive Control Design<\/td>\nM. Kristic, I. Kanellakopoulos, P. Kokotovic<\/td>\nWiley Inter-Science<\/td>\n1<\/td>\n<\/tr>\n
    Nonlinear Programming
    \n2nd edition<\/td>\n    		D.P. Bertsekas<\/td>\nAthena Scientific<\/td>\n2<\/td>\n<\/tr>\n
    Nonparametric Econometrics<\/td>\nAdrian Pagan, Aman Ullah<\/td>\nCambridge University Press<\/td>\n1<\/td>\n<\/tr>\n
    Nonparametric Statistical Methods
    \n2nd edition<\/td>\n    		Myles Hollander, Douglas A. Wolfe<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Nonparametric Statistics for Stochastic Processes
    \n2nd edition<\/td>\n    		Denis Bosq, K. Krickeberg, S. Fienberg<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Numerical Methods and Software<\/td>\nDavid Kahaner, Cleve Moler, Stephen Nash<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Numerical Optimization
    \n1st edition<\/td>\n    		Jorge Nocedal, Stephen Wright<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    On Intelligence<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    On Lisp – Advanced Techniques For Common Lisp<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Optimal Control Theory: An Introduction<\/td>\nD.E. Kirk<\/td>\nDover Publications<\/td>\n1<\/td>\n<\/tr>\n
    Optimal Design of Experiments<\/td>\nFriedrich Pukelsheim<\/td>\nSociety for Industrial and Applied Mathematic<\/td>\n1<\/td>\n<\/tr>\n
    Optimization Methods in Finance<\/td>\nG. Cornuejols, R. Tutuncu<\/td>\nCambridge<\/td>\n1<\/td>\n<\/tr>\n
    Optimization Toolbox-For Use with MATLAB
    \nUser’s Guide<\/td>\n    		<\/td>\nThe MathWorks<\/td>\n1<\/td>\n<\/tr>\n
    Parallel Distributed Processing Vol. 1<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Parallel Distributed Processing Vol. 2<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Parallel Programming with MPI<\/td>\nPeter S. Pacheco<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Pattern Classification
    \n2nd edition<\/td>\n    		Duda, Hart & Stork<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    Pattern Recognition and Machine Learning
    \n1st edition<\/td>\n    		Christopher M. Bishop<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Prediction, Learning, and Games<\/td>\nN. Cesa-bianchi, G. Lugosi<\/td>\nCambridge<\/td>\n1<\/td>\n<\/tr>\n
    Probabilisitc Networks and Expert Systems<\/td>\nCowell, Robert G., Lauritzen, Steffen L., and Spiegelhater, David J.<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Probabilistic Robotics<\/td>\nSebastian T., Wolfram B. and Dieter F.<\/td>\nThe MIT Press<\/td>\n1<\/td>\n<\/tr>\n
    Probability Theory: An Advance Course<\/td>\nV. S. Borkar<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Python Cookbook<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Python – Essential Reference
    \n2nd edition<\/td>\n    		<\/td>\n<\/td>\n4<\/td>\n<\/tr>\n
    Python In A Nutshell<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Real Analysis: An Introduction<\/td>\nAJ White<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Rapid Development<\/td>\nS.McConnell<\/td>\nMicrosoft Press<\/td>\n1<\/td>\n<\/tr>\n
    Reinforcement Learning and Dynamic Programming Using Function Approximators<\/td>\nL. Busoniu, R. Babuska, B. De Schutter, D. Ernst<\/td>\nCRC Press<\/td>\n1<\/td>\n<\/tr>\n
    RL & Simulation-based Search in Computer GO<\/td>\nDavid Silver Thesis<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Sequential Analysis<\/td>\nAbraham Wald<\/td>\nDover Publications<\/td>\n1<\/td>\n<\/tr>\n
    Sequential Estimation<\/td>\nM. Ghosh, N. Mukhopadhyau, P. K. Sen<\/td>\nWiley<\/td>\n1<\/td>\n<\/tr>\n
    Sparse Distributed Memory<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    Springer Handbook of Robotics<\/td>\nB. Siciliano, O. Khatib<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Statistical Decision Theory and Bayesian Analysis
    \n2nd edition<\/td>\n    		James O. Berger<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Statistical Learning Theory<\/td>\nV. N. Vapnik<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Statistical Methods
    \n8th edition<\/td>\n    		Snedecor, George W. and Cochran, William Gemmell<\/td>\nIowa Wate Press<\/td>\n1<\/td>\n<\/tr>\n
    Statistical Modeling by Wavelets<\/td>\nBrani Vidakovic<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Stochastic Approximation and Recursive Algorithms and Applications 2nd edition<\/td>\nH.J.Kushner, G.G. Yin<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    Stochastic Approximation: A Dynamical Systems Viewpoint<\/td>\nV.S. Borkar<\/td>\nHindustan Book Agency<\/td>\n1<\/td>\n<\/tr>\n
    Stochastic Processes<\/td>\nJoshp Leo Doob<\/td>\nJohn Wiley & Sons<\/td>\n1<\/td>\n<\/tr>\n
    Structure and Interpretation of Computer Programs
    \n2nd edition<\/td>\n    		Harold Abelson, Gerald Jay Sussman<\/td>\nThe MIT Press<\/td>\n1<\/td>\n<\/tr>\n
    Structured Probablistic Models<\/td>\nKoller and Friedman<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    The Analysis of Time Series
    \n6TH edition<\/td>\n    		Chris Chatfield<\/td>\nChapman & Hall\/CRC<\/td>\n1<\/td>\n<\/tr>\n
    The Cauchy-Schwarz Master Class<\/td>\nJ. Michael Steels<\/td>\nCambridge University Press<\/td>\n1<\/td>\n<\/tr>\n
    The Elements of Statistical Learning<\/td>\nT. Hastie, R. Tibshirani, J. Friedman<\/td>\n<\/td>\n2<\/td>\n<\/tr>\n
    The Elements of Style 4th edition<\/td>\nW.Strunk JR, E.B.White<\/td>\nLongman<\/td>\n3<\/td>\n<\/tr>\n
    The Generic Chaining
    \n1st edition<\/td>\n    		Michel Talagrand<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    The MIT Encyclopedia of The Cognitive Sciences<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    The Nature of Statictical Learning Theory 2nd edition<\/td>\nV. N. Vapnik<\/td>\nSpringer<\/td>\n1<\/td>\n<\/tr>\n
    The Psychology of Animal Learning<\/td>\nN.J. Mackintosh<\/td>\nAcademicpress<\/td>\n1<\/td>\n<\/tr>\n
    The Soar Papers Vol. 2<\/td>\n<\/td>\n<\/td>\n1<\/td>\n<\/tr>\n
    The Theory of Incentives – The Principal-Agent Models<\/td>\nJean-Jacques Laffont & David Martimort<\/td>\nPrinceton University Press<\/td>\n1<\/td>\n<\/tr>\n
    The Wiki Way Quick Conllaboration on the Web<\/td>\nB.Leuf, W.Cunningham<\/td>\nAddison-Welsley<\/td>\n1<\/td>\n<\/tr>\n
    Topics in Matrix Analysis<\/td>\nR. A. Horn, C. R. Johnson<\/td>\nCambridge<\/td>\n1<\/td>\n<\/tr>\n
    Univariate Discrete Distributions
    \n3rd edition<\/td>\n    		Norman L. Johnson, Adrienne W. Kemp, Samuel Kotz,<\/td>\nWiley-Interscience<\/td>\n1<\/td>\n<\/tr>\n
    Wavelets and Filter Banks<\/td>\nGilbert Strang, Truong Nguyen<\/td>\nWellesley Cambridge<\/td>\n1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

    The RLAI Lab Library \u00a0is a collection of books which may be checked out by members of the RLAI group at the University of Alberta. The library primarily contains academic textbooks and collections, though it also contains technical references and manuals, in addition to some non-technical resources. The RLAI Lab Library is located in CSC<\/p>\n

    Read More<\/a><\/p>\n","protected":false},"author":5,"featured_media":0,"parent":11,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-212","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/pages\/212","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/comments?post=212"}],"version-history":[{"count":0,"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/pages\/212\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/pages\/11"}],"wp:attachment":[{"href":"https:\/\/spaces.facsci.ualberta.ca\/rlai\/wp-json\/wp\/v2\/media?parent=212"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}