Download PDF by Abdelhamid Mellouk: Advances in Reinforcement Learning

By Abdelhamid Mellouk

ISBN-10: 9533073691

ISBN-13: 9789533073699

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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. Proc. Of Symposium on Global Optimisation, June, 411-435.

This test result shows that the number of artificial adjustments decreases gradually along with learning process. % t 0 12 24 36 48 60 48 60 72 84 (a) N=10 0 12 24 36 72 84 t (b) Fig. 4. The results of tests 7. Conclusions In order to support the computation-intensive tasks, we collect the idle computational resources of CSCW environment to construct the multi-cluster grid. Because of the heterogeneous resources, the state of the idle computing resources changes in the process of the computing and the task migration.

CKS; End if; (4)CCT start the calculation work in a new environment; (5)End. 4 Learning process of GCG Algorithm6 (GCG learning process) (1)GCG calls the algorithm1 to do initialization work; (2)GCG receives a task TSK; (3)GCG allots a computing device PE (that is a CN or a CC) for TSK, and starts the computing agents for TSK; (4)While TSK is not finished Do All computing agents cooperative calculate the TSK; If TSK must be migrated, then Start the migration learning algorithm (4 and 5); Calculate the resource utilization rate urt; Start the algorithm3 to adjust the weight and life of dynamic rules; Refresh ASP, SSP, and RSP; End if; End while; (5)End.

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Advances in Reinforcement Learning by Abdelhamid Mellouk


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