Reinforcement Learning for Discrete Stochastic Optimization

Reinforcement Learning for Discrete Stochastic Optimization
Author :
Publisher :
Total Pages : 0
Release :
ISBN-10 : OCLC:1349545720
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Reinforcement Learning for Discrete Stochastic Optimization by : Deniz Daniel Preil

Download or read book Reinforcement Learning for Discrete Stochastic Optimization written by Deniz Daniel Preil and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Reinforcement Learning for Discrete Stochastic Optimization Related Books

Reinforcement Learning for Discrete Stochastic Optimization
Language: en
Pages: 0
Authors: Deniz Daniel Preil
Categories:
Type: BOOK - Published: 2022 - Publisher:

DOWNLOAD EBOOK

Reinforcement Learning and Stochastic Optimization
Language: en
Pages: 1090
Authors: Warren B. Powell
Categories: Mathematics
Type: BOOK - Published: 2022-04-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION Clearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, in
First-order and Stochastic Optimization Methods for Machine Learning
Language: en
Pages: 591
Authors: Guanghui Lan
Categories: Mathematics
Type: BOOK - Published: 2020-05-15 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
Markov Decision Processes
Language: en
Pages: 544
Authors: Martin L. Puterman
Categories: Mathematics
Type: BOOK - Published: 2014-08-28 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and g
Rollout, Policy Iteration, and Distributed Reinforcement Learning
Language: en
Pages: 498
Authors: Dimitri Bertsekas
Categories: Computers
Type: BOOK - Published: 2021-08-20 - Publisher: Athena Scientific

DOWNLOAD EBOOK

The purpose of this book is to develop in greater depth some of the methods from the author's Reinforcement Learning and Optimal Control recently published text