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A Concise Introduction to Multiagent Systems and Distributed Artificial IntelligenceLearning

A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence: Learning [In this chapter we briefly address the issue of learning, in particular reinforcement learning which allows agents to learn from delayed rewards. We outline existing techniques for singleagent systems, and show how they can be extended in the multiagent case.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Concise Introduction to Multiagent Systems and Distributed Artificial IntelligenceLearning

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2007
ISBN
978-3-031-00415-5
Pages
53 –61
DOI
10.1007/978-3-031-01543-4_7
Publisher site
See Chapter on Publisher Site

Abstract

[In this chapter we briefly address the issue of learning, in particular reinforcement learning which allows agents to learn from delayed rewards. We outline existing techniques for singleagent systems, and show how they can be extended in the multiagent case.]

Published: Jan 1, 2007

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