Multi-objective Reinforcement Learning for Responsive Grids

Author:

Perez Julien,Germain-Renaud Cécile,Kégl Balazs,Loomis Charles

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference40 articles.

1. The Grid Observatory Portal. www.grid-observatory.org . Accessed 24 May 2010

2. Baird, L.: Residual algorithms: reinforcement learning with function approximation. In: 12th Int. Conf. on Machine Learning, pp. 30–37. Morgan Kaufmann, San Francisco, CA (1995)

3. Beckman, P., Nadella, S., Trebon, N., Beschastnikh, I.: SPRUCE: a system for supporting urgent high-performance computing. IFIP Series 239, 295–311 (2007)

4. Blanchet, C., Combet, C., Deleage, G.: Integrating bioinformatics resources on the EGEE Grid platform. In: 6th ACM/IEEE Int. Symp. on Cluster Computing and the Grid, p. 48 (2006)

5. Blanchet, C., Mollon, R., Thain, D., Deleage, G.: Grid deployment of legacy bioinformatics applications with transparent data access. In: 7th IEEE/ACM International Conference on Grid Computing, pp. 120–127 (2006)

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