Download PDF by Abdelhamid Mellouk: Advances in Reinforcement Learning

By Abdelhamid Mellouk

ISBN-10: 9533073691

ISBN-13: 9789533073699

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Wooldridge, M. 127-141, ISBN: 3-540-415947, Limerick, Ireland, 2000, Springer-Verlag New York, Inc. Secaucus, NJ, USA. Organizational rules as an abstraction for the analysis and design of multi-agent systems. 303-328, ISSN: 0302-9743 (Print) 1611-3349 (Online) 3 A Reinforcement Learning Approach to Intelligent Goal Coordination of Two-Level Large-Scale Control Systems Nasser Sadati1,2 and Guy A. Dumont1 1Electrical and Computer Engineering Department The University of British Columbia, Vancouver 2Electrical Engineering Department, Sharif University of Technology, 1BC, Canada 2Iran 1.

2008). , Vol. 31, n°11, pp. 2706-2715. , S. Hoceini, S. Zeadally, (2009). , Volume: 32 n°12, pp. 1371-1376, Elsevier, 2009. , (2005). 11 AdHoc Networks Delay and Routing, PhD Thesis, INRIA Rocquencourt, France. , (2007). “Analysis of MPR selection in the OLSR protocol”. Proc. Of PAEWN, Niagara Falls, Ontario, Canada. , (2009). “Distributed energy balanced routing for wireless sensor networks”, Computers & Industrial Engineering, vol. 57, no. 1, pp. 125-135. P. (2003). Optimal Solution of Integer Multicommodity Flow Problem with Application in Optical Networks.

W>MaxWeight, and MaxWeight is a constant in MCG, we call dr the static rule (sr). Its state is “Static”. w

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Advances in Reinforcement Learning by Abdelhamid Mellouk

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