Zerosum Discretetime Markov Games With Unknown Disturbance Distribution

Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution: Discounted and Average Criteria

Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution: Discounted and Average Criteria by J. Adolfo Minjárez-Sosa
English | EPUB | 2020 | 129 Pages | ISBN : 3030357198 | 9.1 MB

This SpringerBrief deals with a class of discrete-time zero-sum Markov games with Borel state and action spaces, and possibly unbounded payoffs, under discounted and average criteria, whose state process evolves according to a stochastic difference equation. The corresponding disturbance process is an observable sequence of independent and identically distributed random variables with unknown distribution for both players. Unlike the standard case, the game is played over an infinite horizon evolving as follows. At each stage, once the players have observed the state of the game, and before choosing the actions, players 1 and 2 implement a statistical estimation process to obtain estimates of the unknown distribution.
Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution: Discounted and Average Criteria (Repost)

Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution: Discounted and Average Criteria by J. Adolfo Minjárez-Sosa
English | PDF | 2020 | 129 Pages | ISBN : 3030357198 | 2 MB

This SpringerBrief deals with a class of discrete-time zero-sum Markov games with Borel state and action spaces, and possibly unbounded payoffs, under discounted and average criteria, whose state process evolves according to a stochastic difference equation. The corresponding disturbance process is an observable sequence of independent and identically distributed random variables with unknown distribution for both players. Unlike the standard case, the game is played over an infinite horizon evolving as follows.
Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution: Discounted and Average Criteria

J. Adolfo Minjárez-Sosa, "Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution: Discounted and Average Criteria "
English | ISBN: 3030357198 | 2020 | 120 pages | PDF | 2 MB

Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath  eBooks & eLearning

Posted by AvaxGenius at March 5, 2022
Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath

Denumerable Markov Chains: with a chapter of Markov Random Fields by David Griffeath by John G. Kemeny
English | PDF | 1976 | 495 Pages | ISBN : 0387901779 | 36.1 MB

With the first edition out of print, we decided to arrange for republi­ cation of Denumerrible Markov Ohains with additional bibliographic material. The new edition contains a section Additional Notes that indicates some of the developments in Markov chain theory over the last ten years.

Developing 2D Games with Unity: Independent Game Programming with C#  eBooks & eLearning

Posted by roxul at Nov. 28, 2018
Developing 2D Games with Unity: Independent Game Programming with C#

Jared Halpern, "Developing 2D Games with Unity: Independent Game Programming with C#"
English | ISBN: 1484237714 | 2019 | 380 pages | PDF, EPUB | 29 MB
Zharkov's Handbook on Visual Studio. Volume 4: Games with Visual C# (continuation 1, without programs)

Zharkov's Handbook on Visual Studio. Volume 4: Games with Visual C# (continuation 1, without programs) by Valerij Alekseyevich Zharkov
English | April 29, 2018 | ASIN: B07CRQQ5MB | 391 pages | AZW3 | 3.95 MB

Mixture and Hidden Markov Models with R  eBooks & eLearning

Posted by hill0 at July 1, 2022
Mixture and Hidden Markov Models with R

Mixture and Hidden Markov Models with R
English | 2022 | ISBN: 3031014383 | 283 Pages | PDF EPUB (True) | 17 MB

Markov Chains: With Stationary Transition Probabilities  eBooks & eLearning

Posted by AvaxGenius at April 3, 2023
Markov Chains: With Stationary Transition Probabilities

Markov Chains: With Stationary Transition Probabilities by Kai Lai Chung
English | PDF | 1967 | 312 Pages | ISBN : 3540038221 | 23.3 MB

In this revised edition I have added some new material as well as making corrections and improvements. In Part I the additions (in §§ 9, 10, 11) are a few results closely related to the original text and illustrative of the method of taboos. In Part II the major additions have to do with the boundary theory; these include "fine topology" in § 11, "Martin boundary" and "entrance law" in § 19. The old Addenda have been expanded into the new § 12, some of the developments there being also germane to the boundary theory. It is hoped that these efforts have now brought the reader right up to the edge of the boundary. A number of selected items have been inserted in the Bibliography as a further guide to the latest literature on the above-mentioned and other topics.

Unity Android 2021 : Build 7 Games with Unity and C#  eBooks & eLearning

Posted by IrGens at Feb. 25, 2021
Unity Android 2021 : Build 7 Games with Unity and C#

Unity Android 2021 : Build 7 Games with Unity and C#
ISBN: 9781801074490 | .MKV, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 15h 58m | 6.7 GB
Instructor: Raja Biswas

Unreal Engine 4 Mastery: Create Multiplayer Games with C++ (2017)  eBooks & eLearning

Posted by ParRus at Dec. 30, 2017
Unreal Engine 4 Mastery: Create Multiplayer Games with C++ (2017)

Unreal Engine 4 Mastery: Create Multiplayer Games with C++ (2017)
WEBRip | English | MP4 + Project Files | 1280 x 720 | AVC ~247 kbps | 30 fps
AAC | 192 Kbps | 48.0 KHz | 2 channels | Subs: English (.srt) | ~17 hours | 3.96 GB
Genre: Video Tutorial / Development, Game Development

Unleash the power of C++ and Blueprint to develop Multiplayer Games with AI in this Epic Games-approved course.