The RLAI Lab Library is 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.
Using the Library
Finding books
- To find a book, check the online library below.
- Look for it on the shelf.
- If it is not on the shelf, check the card file to determine who has it checked out.
Checking out books
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.
Returning books
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.
Requesting books
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 and cc your supervisor. If the book is appropriate and necessary for the library, it will be ordered.
Library Index
| Title | Author | Publisher | Copies |
|---|---|---|---|
| Absolute C++ (First Edition) | Walter Savitch | 2 | |
| A Course in Functional Analysis 2nd edition |
John B. Conway | Springer | 1 |
| Adaptive Algorithms and Stochastic Approximations | Albert Benveniste, Michel Metivier, Pierre Priouret | 1 | |
| Algorithms for Reinforcement Learning | Csaba Szepesvari | Morgan & Claypool | 2 |
| All of Statistics | L. Wasserman | 1 | |
| An Introduction to the Approximation of Functions | Theodore J. Rivlin | Dover Publications | 1 |
| An Invitation to Computer Science (Second Edition) | G. Michael Schneider, Judith L. Gersting | 1 | |
| ANSI Common Lisp | 2 | ||
| Applications of Mathematics – Stochastic Modelling and Applied Probability- Random Iterative Models |
Marie Duflo | Springer | 1 |
| Applied Multivariate Statistical Analysis (Fifth Edition) | Richard A. Johnson, Dean W, Wichern | 1 | |
| Approximate Dynamic Programming Solving the Curses of Dimensionality |
Warren B. Powell | Wiley-Interscience | 1 |
| Approximation of Large-Scale Dynamical Systems | Athanasios C. Antoulas | Society for Industrial and Applied Mathematic | 1 |
| The Approximation of Functions | John R. Rice | 1 | |
| Approximation Theory 1st edition |
Ole Christensen, Khadija L. Christensen | Birkhauser | 1 |
| Artificial Intelligence | Elaine Rich | McGraw Hill | 1 |
| Artificial Intelligence A Modern Approach 2nd edition |
Stuart Russell, Peter Norvig | Prentice Hall | 2 |
| Artficial Intelligence In Perspective | 1 | ||
| Bash Cookbook | Carl Albing, JP Vossen, Cameron Newham | O’Reilly | 1 |
| Beyond the Kalman Filter – Particle Filters for Tracking Applications | Branko Ristic, Sanjeev Arulampalam, Neil Gordon | Artech House Publishers | 1 |
| Brain-Like Computing and Intelligent Information Systems | Shun-ichi Amari, Nikola Kasabov | ||
| C++ How To Program (starring the Standard Template Library) | Deitel & Deitel | Prentice Hall | 1 |
| C++ The Complete Reference (Third Edition) | Herbert Schildt | ||
| Code Complete 2nd edition | S. McConnell | Microsoft Press | 1 |
| A Compendium of Machine Learning Volume 1: Symbolic Machine Learning | Garry Briscoe and Terry Caelli | 1 | |
| Computational Intelligence: A Logical Approach | David Poole, Alan Mackworth, Randy Goebel | Oxford University Press | 1 |
| Computer Systems | 1 | ||
| Concept Core Reading | Eric Margolis, Stephen Laurence | The MIT Press | 1 |
| Concepts In Probability And Stochastic Modeling | 1 | ||
| Continuous Multivariate Distributions Vlo. 1 2nd edition |
Samuel Kotz, N. Balakrishnan, Norman L. Johnson | Wiley-Interscience | 1 |
| Continuous Univariate Distributions Vol. 1 2nd edition |
Norman L. Johnson, Samuel Kotz, N. Balakrishnan | Wiley-Interscience | 1 |
| Continuous Univariate Distributions Vol. 2 2nd edition |
Norman L. Johnson, Samuel Kotz, N. Balakrishnan | Wiley-Interscience | 1 |
| Convex Analysis and Optimization | D.P. Bertsekas | 1 | |
| Convex Optimization | Stephen Boyd, Lieven Vandenberghe | Cambridge University Press | 1 |
| Convex Optimization Theory | Dimitri P. Bertsekas | Athena Scientific | 1 |
| Cybernetics Circular Causal and Feedback Mechanisms in Biological and Social Systems | Hans Lukas Teuber | 1 | |
| Cybernetics (or Control and Communication in Animal and the Machine) | Norbert Wiener | 1 | |
| Data Structures and Algorithms | Alfred V. Aho | 1 | |
| Data Structures And Algorithms In Java 2nd edition |
1 | ||
| Discrete Mathematical Structures | Kolman, Busby, Ross | Prentice Hall | 1 |
| Discrete Multivariatte Eistributions 1st edition |
Norman L. Johnson, Samuel Kotz, N. Balakristhnan | Wiley-Interscience | 1 |
| Distributed Operating Systems & Algorithms | 1 | ||
| Dyamic programming & Optimal control Vol 1 3rd edition |
D.P. Bertsekas | 2 | |
| Dyamic programming & Optimal control Vol 2 2nd edition |
D.P. Bertsekas | 2 | |
| Elementary Numerical Analysis | S.D. Conte | ||
| Elements of Information Theory | Thomas M. Cover | 1 | |
| Evaluating Learning Algorithms A Classification Perspective | Nathalie Japkowics, Mohak Shah | Cambridge University Press | 1 |
| Evolution, Games and Learning -Models for Adaptation in Machines and Nature- |
Doyne Farmer, Alan Lapedes, Norman Packard and Burton Wendroff | North-Holland Amsterdam | 1 |
| Evolution, Learning and Cognition | Y.C.Lee | World Scientific | 1 |
| Factorization Methods for Discrete Sequential Estimation | Gerald J. Bierman | Dover Publications | 1 |
| Foundations of Modern Probability 2nd edition |
Olav Kallenberger | Springer | 1 |
| Fundamentals of Adaptive Filtering | Ali H. Sayed | Wiley-IEEE Press | 1 |
| Fundamentals of Artificial Neural Networks | Mohamad H. Hassoun | The MIT Press | 1 |
| Game Theory Evolving | Herbert Gintis | Princeton University Press | 1 |
| Garner’s Modern American Usage | B.A.Garner | Oxford University Press | 1 |
| Gaussian Processes for Machine Learning | C.E.Rasmussen and C.K.I.Williams | The MIT Press | 1 |
| GENETIC Programming | John R. Koza | The MIT Press | 1 |
| Goal Seeking Components for Adaptive Intellgence: An Initial Assessment | A.G. Barto, R.S. Sutton | 1 | |
| The Handbook of Artificial Intelligence | Avron Barr & Edward A. Feigenbaum | 1 | |
| Human Associative Memory (Course Notes) | J. R. Anderson & G. H. Bower | 1 | |
| Inequalities 2nd edition |
G.H. Hardy, J.E. Lttlewood, G. Polya | Cambridge University Press | 1 |
| Information Theory, Inference, and Learning Algorithms | D.J.C.Mackay | Cambridge | 1 |
| Introduction To Algorithems 2nd edition |
1 | ||
| Introduction to Approximation Theory 2nd edition |
E. W. Cheney | Amer Mathematical Society | 1 |
| Introduction to Artificial Intelligence and Expert Systems | Dan W. Patterson | 1 | |
| Introduction To Linear Algebra 2nd edition |
3 | ||
| Introduction to Machine Learning | Ethem Alpaydin | The MIT Press | 2 |
| Introduction to Stochastic Search and Optimization 1st edition |
James C. Spall | Wiley-Interscience | 1 |
| Introduction to Time Series and Forecasting 2nd edition |
Peter J. Brockwell, Richard A. Davis | Springer | 1 |
| Introduction to Wavelets and Wavelets Transforms | C. Sidney Burrus, C. Sidney Burrus, Ramesh A. Gopinath | Prentice Hall | 1 |
| Introductory Lectures On Convex Optimization – A Basic Course | Yurii Nesterov | Kluwer Academic Publishers | 2 |
| Learning: Animal Behaviour and Human Cognition | Frank Restle | 1 | |
| Learning Bayesian Networks | Richard E. Neapolitan, | 1 | |
| Learning in Graphical Models | Michael Jordan | MIT Press | 1 |
| Learning with Kernels | Scholkopf and Smola | 1 | |
| Learning Python 2nd edition |
2 | ||
| Linear Regression Analysis – 2nd Edition | George A.F. Seber, Alan J.Lee | Wiley Interscience | 1 |
| MAC OS X Help Line | 1 | ||
| Machine Learning | Jebara, Tony, | Springer | 1 |
| Machine Learning and Data Mining -Methods and Applications- |
Ryszard S. Michalski, Ivan Bratko and Miroslav Kubat | Wiley | 1 |
| Mathematics of Statistics (Part 1) | Kenney | 1 | |
| MATLAB&SIMULINK-Installation Guide for Mac OS X | The MathWorks | 1 | |
| MATLAB&SIMULINK-Installation Guide for UNIX | The MathWorks | 1 | |
| MATLAB-The Language of Technical Computing Desktop Tools and Development Environment |
The MathWorks | 1 | |
| MATLAB-The Language of Technical Computing Getting Started with MATLAB |
The MathWorks | 1 | |
| MATLAB-The Language of Technical Computing Mathematics |
The MathWorks | 1 | |
| MATLAB-The Language of Technical Computing Programming |
The MathWorks | 1 | |
| MATLAB-The Language of Technical Computing Using MATLAB Graphics |
The MathWorks | 1 | |
| Markov Chains and Invariant Probabilities | Onesimo Hernandez-Lerma, Jean B. Lasserre | Birkhauser Basel | 1 |
| Markov Decision processes | M. Puterman | 2 | |
| Markov Processes: Characterization and Convergence 2nd edition |
Stewart N. Ethier, Thomas G. Kurtz | Wiley-Interscience | 1 |
| Matrix Analysis | Roger A. Horn, Charles R. Johnson | Cambridge | 1 |
| Matrix Computations 3rd edition |
Gene H. Golub | 2 | |
| Measure Theory | Joseph Doob | Springer | 1 |
| Monte Carlo Methods in Financial Engineering | P. Glasserman | Springer | 1 |
| Monte Carlo Statistical Methods 2nd edition |
Christian P. Robert, George Casella | Springer | 1 |
| Motivated Reinforcement Learning | K. E. Merrick, M. L. Maher | Springer | 1 |
| Neural Networks for Control | Rich Sutton and Paul J. Werbos | A Bradford Book | 1 |
| Neural Network Learning: Theoretical Foundations 1st edition |
Martin Anthony, Peter L. Bartlett | Cambridge University Press | 1 |
| Neural Network Toolbox-For Use with MATLAB User’s Guide |
The MathWorks | ||
| Neuro-dynamic programming | Bertsekas & Tsitsiklis | Athena Scientific | 2 |
| Nonlinear and Adaptive Control Design | M. Kristic, I. Kanellakopoulos, P. Kokotovic | Wiley Inter-Science | 1 |
| Nonlinear Programming 2nd edition |
D.P. Bertsekas | Athena Scientific | 2 |
| Nonparametric Econometrics | Adrian Pagan, Aman Ullah | Cambridge University Press | 1 |
| Nonparametric Statistical Methods 2nd edition |
Myles Hollander, Douglas A. Wolfe | Wiley-Interscience | 1 |
| Nonparametric Statistics for Stochastic Processes 2nd edition |
Denis Bosq, K. Krickeberg, S. Fienberg | Springer | 1 |
| Numerical Methods and Software | David Kahaner, Cleve Moler, Stephen Nash | 1 | |
| Numerical Optimization 1st edition |
Jorge Nocedal, Stephen Wright | Springer | 1 |
| On Intelligence | 1 | ||
| On Lisp – Advanced Techniques For Common Lisp | 1 | ||
| Optimal Control Theory: An Introduction | D.E. Kirk | Dover Publications | 1 |
| Optimal Design of Experiments | Friedrich Pukelsheim | Society for Industrial and Applied Mathematic | 1 |
| Optimization Methods in Finance | G. Cornuejols, R. Tutuncu | Cambridge | 1 |
| Optimization Toolbox-For Use with MATLAB User’s Guide |
The MathWorks | 1 | |
| Parallel Distributed Processing Vol. 1 | 1 | ||
| Parallel Distributed Processing Vol. 2 | 1 | ||
| Parallel Programming with MPI | Peter S. Pacheco | 1 | |
| Pattern Classification 2nd edition |
Duda, Hart & Stork | 2 | |
| Pattern Recognition and Machine Learning 1st edition |
Christopher M. Bishop | Springer | 1 |
| Prediction, Learning, and Games | N. Cesa-bianchi, G. Lugosi | Cambridge | 1 |
| Probabilisitc Networks and Expert Systems | Cowell, Robert G., Lauritzen, Steffen L., and Spiegelhater, David J. | Springer | 1 |
| Probabilistic Robotics | Sebastian T., Wolfram B. and Dieter F. | The MIT Press | 1 |
| Probability Theory: An Advance Course | V. S. Borkar | Springer | 1 |
| Python Cookbook | 1 | ||
| Python – Essential Reference 2nd edition |
4 | ||
| Python In A Nutshell | 1 | ||
| Real Analysis: An Introduction | AJ White | 1 | |
| Rapid Development | S.McConnell | Microsoft Press | 1 |
| Reinforcement Learning and Dynamic Programming Using Function Approximators | L. Busoniu, R. Babuska, B. De Schutter, D. Ernst | CRC Press | 1 |
| RL & Simulation-based Search in Computer GO | David Silver Thesis | 1 | |
| Sequential Analysis | Abraham Wald | Dover Publications | 1 |
| Sequential Estimation | M. Ghosh, N. Mukhopadhyau, P. K. Sen | Wiley | 1 |
| Sparse Distributed Memory | 1 | ||
| Springer Handbook of Robotics | B. Siciliano, O. Khatib | Springer | 1 |
| Statistical Decision Theory and Bayesian Analysis 2nd edition |
James O. Berger | Springer | 1 |
| Statistical Learning Theory | V. N. Vapnik | Wiley-Interscience | 1 |
| Statistical Methods 8th edition |
Snedecor, George W. and Cochran, William Gemmell | Iowa Wate Press | 1 |
| Statistical Modeling by Wavelets | Brani Vidakovic | Wiley-Interscience | 1 |
| Stochastic Approximation and Recursive Algorithms and Applications 2nd edition | H.J.Kushner, G.G. Yin | Springer | 1 |
| Stochastic Approximation: A Dynamical Systems Viewpoint | V.S. Borkar | Hindustan Book Agency | 1 |
| Stochastic Processes | Joshp Leo Doob | John Wiley & Sons | 1 |
| Structure and Interpretation of Computer Programs 2nd edition |
Harold Abelson, Gerald Jay Sussman | The MIT Press | 1 |
| Structured Probablistic Models | Koller and Friedman | 1 | |
| The Analysis of Time Series 6TH edition |
Chris Chatfield | Chapman & Hall/CRC | 1 |
| The Cauchy-Schwarz Master Class | J. Michael Steels | Cambridge University Press | 1 |
| The Elements of Statistical Learning | T. Hastie, R. Tibshirani, J. Friedman | 2 | |
| The Elements of Style 4th edition | W.Strunk JR, E.B.White | Longman | 3 |
| The Generic Chaining 1st edition |
Michel Talagrand | Springer | 1 |
| The MIT Encyclopedia of The Cognitive Sciences | 1 | ||
| The Nature of Statictical Learning Theory 2nd edition | V. N. Vapnik | Springer | 1 |
| The Psychology of Animal Learning | N.J. Mackintosh | Academicpress | 1 |
| The Soar Papers Vol. 2 | 1 | ||
| The Theory of Incentives – The Principal-Agent Models | Jean-Jacques Laffont & David Martimort | Princeton University Press | 1 |
| The Wiki Way Quick Conllaboration on the Web | B.Leuf, W.Cunningham | Addison-Welsley | 1 |
| Topics in Matrix Analysis | R. A. Horn, C. R. Johnson | Cambridge | 1 |
| Univariate Discrete Distributions 3rd edition |
Norman L. Johnson, Adrienne W. Kemp, Samuel Kotz, | Wiley-Interscience | 1 |
| Wavelets and Filter Banks | Gilbert Strang, Truong Nguyen | Wellesley Cambridge | 1 |