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Sample Efficient Multiagent Learning in the Presence of Markovian Agents by Dora

Description: Sample Efficient Multiagent Learning in the Presence of Markovian Agents by Doran Chakraborty Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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 before in a MAL context: Markovian agent behavior. Several new challenges arise when interacting with this particular class of agents. The book takes a series of steps towards building completely autonomous learning algorithms that maximize utility while interacting with such agents. Each algorithm is meticulously specified with a thorough formal treatment that elucidates its key theoretical properties. Details ISBN 3319026054 ISBN-13 9783319026053 Title Sample Efficient Multiagent Learning in the Presence of Markovian Agents Author Doran Chakraborty Format Hardcover Year 2013 Pages 147 Edition 2014th Publisher Springer International Publishing AG GE_Item_ID:137723686; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 125.19 USD

Location: Fairfield, Ohio

End Time: 2024-11-25T03:49:59.000Z

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Sample Efficient Multiagent Learning in the Presence of Markovian Agents by Dora

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9783319026053

Book Title: Sample Efficient Multiagent Learning in the Presence of Markovian

Number of Pages: Xviii, 147 Pages

Language: English

Publication Name: Sample Efficient Multi-Agent Learning in the Presence of Markovian Agents

Publisher: Springer International Publishing A&G

Item Height: 0.2 in

Publication Year: 2013

Subject: Engineering (General), Probability & Statistics / Stochastic Processes, Intelligence (Ai) & Semantics

Type: Textbook

Item Weight: 16 Oz

Author: Doran Chakraborty

Item Length: 9.3 in

Subject Area: Mathematics, Computers, Technology & Engineering

Series: Studies in Computational Intelligence Ser.

Item Width: 6.1 in

Format: Hardcover

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