Advances in Reinforcement Learning by Abdelhamid Mellouk

By Abdelhamid Mellouk

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E. first-level) performance functions, compares the interface inputs (interactions) demanded by the infimal controllers and those which actually occur, then provides new performance modifications whenever the error is observed as being outside the acceptable bounds. A brief description of the Goal Coordination and Interaction Balance Principle is presented in the following section. Although a more detailed discussion of this principle can be found in [1] ,[2] and also, voluminous literature on large-scale systems theories and applications including survey articles, textbooks and monographs can be found in [6]-[12].

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.

CA is the basic element of executing computation task and support STM. If CA could complete the task independently, we call it the independent computing agent (ICA). If CA couldn’t complete the task independently, and it must cooperate with others, we call it the cooperative computing agent (CCA). Cooperation Computing Team (CCT) is defined as CCT (id, Am, CAS, BDI, CKS, CCE), where id denotes the identifier of CCT; Am denotes the main control agent of CCT; CAS denotes the set of all cooperative computing agents which CCT includes; BDI is the description of its BDI; CKS is its knowledge set.

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