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By
Peter Vrancx
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Bibliographic Detail
Publisher
Independent Pub Group
Publication date
February 1, 2011
Pages
205
Binding
Paperback
Book category
Adult Non-Fiction
ISBN-13
9789054877158
ISBN-10
9054877154
Dimensions
0.50 by 6.50 by 9.50 in.
Weight
0.92 lbs.
Original list price
$44.00
Summaries and Reviews
Amazon.com description: Product Description:
Introducing a new approach to multiagent reinforcement learning and distributed artificial intelligence, this guide shows how classical game theory can be used to compose basic learning units. This approach to creating agents has the advantage of leading to powerful, yet intuitively simple, algorithms that can be analyzed. The setup is demonstrated here in a number of different settings, with a detailed analysis of agent learning behaviors provided for each. A review of required background materials from game theory and reinforcement learning is also provided, along with an overview of related multiagent learning methods.
Editions
Paperback
The price comparison is for this edition
from Independent Pub Group (February 1, 2011)
9789054877158 | details & prices | 205 pages | 6.50 × 9.50 × 0.50 in. | 0.92 lbs | List price $44.00
About: Introducing a new approach to multiagent reinforcement learning and distributed artificial intelligence, this guide shows how classical game theory can be used to compose basic learning units.
About: Introducing a new approach to multiagent reinforcement learning and distributed artificial intelligence, this guide shows how classical game theory can be used to compose basic learning units.
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