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Dhruba Chakraborty - Sample Efficient Multiagent Learning in the Presence of Markovian Agents - 9783319026053 - V9783319026053
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Sample Efficient Multiagent Learning in the Presence of Markovian Agents

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Description for Sample Efficient Multiagent Learning in the Presence of Markovian Agents hardcover. This book develops multi-agent learning algorithms that achieve new objectives not previously attained. In particular the text examines learning in the presence of Markovian agent behavior, which has not been studied or modeled before in a MAL context. Series: Studies in Computational Intelligence. Num Pages: 147 pages, 31 black & white illustrations, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 11. Weight in Grams: 415.
The problem of Multiagent Learning (or MAL) is concerned with the study of how intelligent entities can learn and adapt in the presence of other such entities that are simultaneously adapting. The problem is often studied in the stylized settings provided by repeated matrix games (a.k.a. normal form games). The goal of this book is to develop MAL algorithms for such a setting that achieve a new set of objectives which have not been previously achieved. In particular this book deals with learning in the presence of a new class of agent behavior that has not been studied or modeled ... Read more

Product Details

Format
Hardback
Publication date
2013
Publisher
Springer Switzerland
Number of pages
147
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
147
Place of Publication
Cham, Switzerland
ISBN
9783319026053
SKU
V9783319026053
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Sample Efficient Multiagent Learning in the Presence of Markovian Agents
From the book reviews: “The book presents the PhD findings of the author in the field of multiagent learning. … All the concepts are thoroughly described and accompanied by theoretical analysis and empirical testing. A book suitable for researchers working in multiagent learning and game theory.” (Ruxandra Stoean, zbMATH, Vol. 1288, 2014)

Goodreads reviews for Sample Efficient Multiagent Learning in the Presence of Markovian Agents


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