[PDF.40lv] Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents)

Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents)

[PDF.pk47] Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents)

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 | #5391760 in Books |  2000-03-17 | Original language:English | PDF # 1 |  9.00 x.90 x6.20l,1.30 | File type: PDF | 284 pages

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||About the Author||Peter Stone is Assistant Professor of Computer Sciences, Alfred P. Sloan Research Fellow, and Director of the Learning Agents Group, University of Texas at Austin. He is the recipient of the International Joint Conference on Artificial Intellig

This book looks at multiagent systems that consist of teams of autonomous agents acting in real-time, noisy, collaborative, and adversarial environments. The book makes four main contributions to the fields of machine learning and multiagent systems.First, it describes an architecture within which a flexible team structure allows member agents to decompose a task into flexible roles and to switch roles while acting. Second, it presents layered learning, a general-purp...

You easily download any file type for your device.Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer (Intelligent Robotics and Autonomous Agents)   |  Peter Stone. Which are the reasons I like to read books. Great story by a great author.

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