Books
Here you can find some address of a books that are
online, of course you should pay in some cases otherwise also can find
some previews.
- Numerical Recipes in C (PostScript)
- Numerical Recipes in C (Acrobat Edition)
- Numerical Recipes in Fortran 77 (PostScript)
- Numerical Recipes in Fortran 77 (Acrobat Edition)
- Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
- Machine Learning, Neural and Statistical Classification by D. Michie, D.J. Spiegelhalter, C.C. Taylor (eds)
- A Mathematical Theory of Communication by Claude E. Shannon (PDF and Postscript at dspguide.com)
MIT Press, Cambridge, MA, 1998 (Electronic version)
This introductory textbook on reinforcement learning is targeted toward engineers and scientists in artificial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.
The above book (originally published in 1994 by Ellis Horwood) is now out of print. The copyright now resides with the editors who have decided to make the material freely available on the web.
This book is in PostScript and PDF format
