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[文献讨论] Markov Decision Processes: Discrete Stochastic Dynamic Programming (PDF)下载 [推广有奖]

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zhibubba 学生认证  发表于 2018-5-16 17:20:13 |显示全部楼层 |坛友微信交流群
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DescriptionThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.

"This text is unique in bringing together so many results hitherto found only in part in other texts and papers. . . . The text is fairly self-contained, inclusive of some basic mathematical results needed, and provides a rich diet of examples, applications, and exercises. The bibliographical material at the end of each chapter is excellent, not only from a historical perspective, but because it is valuable for researchers in acquiring a good perspective of the MDP research potential."
—Zentralblatt fur Mathematik

". . . it is of great value to advanced-level students, researchers, and professional practitioners of this field to have now a complete volume (with more than 600 pages) devoted to this topic. . . . Markov Decision Processes: Discrete Stochastic Dynamic Programming represents an up-to-date, unified, and rigorous treatment of theoretical and computational aspects of discrete-time Markov decision processes."
—Journal of the American Statistical Association







About the AuthorMartin L. Puterman, PhD, is Advisory Board Professor of Operations and Director of the Centre for Operations Excellence at The University of British Columbia in Vancouver, Canada.
Table of contents

Preface.

1. Introduction.

2. Model Formulation.

3. Examples.

4. Finite-Horizon Markov Decision Processes.

5. Infinite-Horizon Models: Foundations.

6. Discounted Markov Decision Problems.

7. The Expected Total-Reward. Criterion.

8. Average Reward and Related Criteria.

9. The Average Reward Criterion-Multichain and Communicating Models.

10. Sensitive Discount Optimality.

11. Continuous-Time Models.

Afterword.

Notation.

Appendix A. Markov Chains.

Appendix B. Semicontinuous Functions.

Appendix C. Normed Linear Spaces.

Appendix D. Linear Programming.

Bibliography.

Index.





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关键词:Programming Stochastic Processes Decision Discrete

Markov decision process.pdf

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markov decision processes: discrete stochastic dynamic programming

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onrush 发表于 2018-5-16 17:45:29 |显示全部楼层 |坛友微信交流群
这些资源 重复 发送?!有什么意义?
这里 早就有了:https://bbs.pinggu.org/thread-1208993-1-1.html

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zhibubba 学生认证  发表于 2018-5-18 18:20:40 |显示全部楼层 |坛友微信交流群
onrush 发表于 2018-5-16 17:45
这些资源 重复 发送?!有什么意义?
这里 早就有了:https://bbs.pinggu.org/thread-1208993-1-1.html
抱歉,我之前还真没找到。。。

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谢谢分享

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yangwag 发表于 2018-6-7 10:27:03 |显示全部楼层 |坛友微信交流群
很好,可以好好看看。

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jiaminZ 发表于 2018-7-20 09:19:14 |显示全部楼层 |坛友微信交流群
支持一个!

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yangwag 发表于 2018-7-27 14:27:12 |显示全部楼层 |坛友微信交流群
很好,可以好好看看.

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orlandozheng1 发表于 2019-1-30 22:36:56 来自手机 |显示全部楼层 |坛友微信交流群
zhibubba 发表于 2018-5-16 17:20
DescriptionThe Wiley-Interscience Paperback Series consists of selected books that have been made mo ...
谢谢,太好了。

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yangwag 发表于 2019-1-31 19:24:33 |显示全部楼层 |坛友微信交流群
这本书比较好.

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wang_ql 发表于 2019-8-14 10:02:24 |显示全部楼层 |坛友微信交流群
赞一个,感谢楼主~

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