Markov Decision Processes: Discrete Stochastic Dynamic Programming
Enlarge cover
Rate this book
Clear rating

Markov Decision Processes: Discrete Stochastic Dynamic Programming

5.0 of 5 stars 5.00  ·  rating details  ·  1 rating  ·  0 reviews
An up-to-date, unified and rigorous treatment of theoretical, computational and applied research on Markov decision process models. Concentrates on infinite-horizon discrete-time models. Discusses arbitrary state spaces, finite-horizon and continuous-time discrete-state models. Also covers modified policy iteration, multichain models with average reward criterion and sensi...more
Paperback
Published March 1st 2005 by Wiley-Interscience (first published April 29th 1994)
more details... edit details

Friend Reviews

To see what your friends thought of this book, please sign up.

Reader Q&A

To ask other readers questions about Markov Decision Processes, please sign up.

Be the first to ask a question about Markov Decision Processes

This book is not yet featured on Listopia. Add this book to your favorite list »

Community Reviews

(showing 1-8 of 8)
filter  |  sort: default (?)  |  rating details
Dima Kpekpassi
Dima Kpekpassi marked it as to-read
Aug 19, 2014
Rado
Rado added it
Jan 08, 2014
Henrik
Henrik marked it as to-read
Jun 21, 2012
mario
mario marked it as to-read
Mar 01, 2012
Joseph
Joseph added it
Aug 26, 2010
There are no discussion topics on this book yet. Be the first to start one »
Dynamic Programming and Its Applications

Share This Book