| |
Reinforcement Learning and
Artificial
Intelligence (RLAI) |
| RLAI
Lab
Library
Book
List |
Welcome to the RLAI Library book list.
| 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 |
|
| 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 |
|
| 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 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 |