New PDF release: Advances in Reinforcement Learning

By Abdelhamid Mellouk

ISBN-10: 9533073691

ISBN-13: 9789533073699

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All actions and their all sub-actions in MCG formed the action space (ASP). Dynamic Rule (dr) is defined as dr(id ,st, ac, br, w, sta, life), where id denotes the rule identifier; st ∈ SSP, ac∈ ASP, br ∈ BRS; sta is the state of dr, and sta ∈ {“Naive”, “Trainable”, “Stable”}; “Naive” denotes that the dr is a new rule; “Trainable” denotes that the dr is revised rule; “Stable” denotes that the dr is a mature rule; w denotes the weight value of dr; life denotes the value of its life. If the state of dr is independent state, the dr is called the independent rule; if the state of dr is cooperative state, the dr is called the cooperative rule.

2. Statement of the problem As it was mentioned in the Introduction, two cases arise as how the coordination might be effected and the infimal control problems can be defined. In this chapter, a new approach for coordination of large-scale systems based on Interaction Balance Principle, which is more convergent than the previously suggested classical methods, has been presented. 1 Goal coordination and Interaction Balance Principle Let B be a given set such that each β in B specifies, for each i=1,…, m, a performance function Giβ :Ui × Zi × Xi → V which is a modification of the original Gi.

45, n°2, pp. 65-66. , (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.

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Advances in Reinforcement Learning by Abdelhamid Mellouk


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