Learning Algorithms Theory and Applications

S. Lakshmivarahan
Additional contact information
S. Lakshmivarahan: University of Oklahoma, School of Electrical Engineering and Computer Science

in Springer Books from Springer

Date: 1981
ISBN: 978-1-4612-5975-6
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Introduction

S. Lakshmivarahan

Ergodic Learning Algorithms

S. Lakshmivarahan

Absolutely Expedient Algorithms

S. Lakshmivarahan

Time Varying Learning Algorithms

S. Lakshmivarahan

Two Person Zero-Sum Sequential Stochastic Games with Imperfect and Incomplete Information — Game Matrix with Saddle Point in Pure Strategies

S. Lakshmivarahan

Two Person Zero-Sum Sequential Stochastic Games with Imperfect and Incomplete Information—General Case

S. Lakshmivarahan

Two Person Decentralized Team Problem With Incomplete Information

S. Lakshmivarahan

Control of a Markov Chain with Unknown Dynamics and Cost Structure

S. Lakshmivarahan

Epilogue

S. Lakshmivarahan

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-1-4612-5975-6

Ordering information: This item can be ordered from
http://www.springer.com/9781461259756

DOI: 10.1007/978-1-4612-5975-6

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().