M. Bena¨?mbena¨?m, Dynamics of stochastic approximation algorithms, Lecture Notes in Math, vol.3, issue.1, pp.1-68, 1999.
DOI : 10.1007/978-1-4757-1947-5

M. Benaim and J. Boudec, A Class Of Mean Field Interaction Models for Computer and Communication Systems. Performance Evaluation, pp.11-12823, 2008.

M. Bena?m and J. Weibull, Deterministic Approximation of Stochastic Evolution in Games, Econometrica, vol.71, issue.3, 2003.
DOI : 10.1111/1468-0262.00429

A. Benveniste, P. Priouret, and M. Métivier, Adaptive algorithms and stochastic approximations, 1990.
DOI : 10.1007/978-3-642-75894-2

V. Berten and B. Gaujal, Grid Brokering for Batch Allocation Using Indexes, Network Control and Optimization LNCS, vol.4465, 2007.
DOI : 10.1007/978-3-540-72709-5_23

URL : https://hal.archives-ouvertes.fr/hal-00689546

W. Chen, D. Huang, A. A. Kulkarni, J. Unnikrishnan, Q. Zhu et al., Approximate dynamic programming using fluid and diffusion approximations with applications to power management, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, pp.3575-3580, 2009.
DOI : 10.1109/CDC.2009.5399685

R. Cole, Initial studies on worm propagation in manets for future army combat systems, 2004.

B. Dp-de-farias and . Van-roy, The Linear Programming Approach to Approximate Dynamic Programming, Operations Research, vol.51, issue.6, pp.850-865, 2003.
DOI : 10.1287/opre.51.6.850.24925

N. Gast and B. Gaujal, A mean field approach for optimization in discrete time. Discrete Event Dynamic Systems, pp.63-101, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00788770

Z. Gorodeisky, Deterministic approximation of best-response dynamics for the Matching Pennies game, Games and Economic Behavior, vol.66, issue.1, pp.191-201, 2009.
DOI : 10.1016/j.geb.2008.04.013

M. Huang, P. E. Caines, and R. P. Malhame, Large population stochastic dynamic games: closed-loop mckean-vlasov systems and the nash certainty equivalence principle, Commun. Inform. Systems, vol.6, issue.3, pp.221-252, 2006.

M. Huang, P. E. Caines, and R. P. Malhame, Nash Certainty Equivalence in Large Population Stochastic Dynamic Games: Connections with the Physics of Interacting Particle Systems, Proceedings of the 45th IEEE Conference on Decision and Control, pp.4921-4926, 2006.
DOI : 10.1109/CDC.2006.377683

M. Huang, P. E. Caines, and R. P. Malhame, Large-population cost-coupled lqg problems with nonuniform agents: individual-mass behavior and decentralized e-nash equilibria, IEEE Transactions Automatic Control, vol.52, 2007.

M. Huang, P. E. Caines, and R. P. Malhame, Social optima in mean field lqg control: centralized and decentralized strategies, 47th Allerton Conference, 2009.

M. H. Khouzani, S. Sarkar, and E. Altman, Maximum damage malware attack in mobile wireless networks, IEEE Infocom, 2010.

D. Kondo, B. Javadi, P. Malecot, F. Cappello, and D. Anderson, Cost-benefit analysis of Cloud Computing versus desktop grids, 2009 IEEE International Symposium on Parallel & Distributed Processing, 2009.
DOI : 10.1109/IPDPS.2009.5160911

URL : https://hal.archives-ouvertes.fr/hal-00788911

T. Kurtz, Solutions of ordinary differential equations as limits of pure jump markov processes, Journal of Applied Probability, pp.49-58, 1970.

J. Lasry and P. Lions, Mean field games, Japanese Journal of Mathematics, vol.4, issue.1, 2007.
DOI : 10.1007/s11537-007-0657-8

URL : https://hal.archives-ouvertes.fr/hal-00667356

J. Y. Le-boudec, D. Mcdonald, and J. Mundinger, A Generic Mean Field Convergence Result for Systems of Interacting Objects, Fourth International Conference on the Quantitative Evaluation of Systems (QEST 2007), pp.3-18, 2007.
DOI : 10.1109/QEST.2007.8

C. H. Papadimitriou and J. N. Tsitsiklis, The Complexity of Optimal Queuing Network Control, Mathematics of Operations Research, vol.24, issue.2, pp.292-305, 1999.
DOI : 10.1287/moor.24.2.293

M. L. Puterman, Markov decision processes: discrete stochastic dynamic programming, Series in Probability and Mathematical Statistics, 1994.
DOI : 10.1002/9780470316887

S. Tanachaiwiwat and A. Helmy, Vaccine: War of the worms in wired and wireless networks, IEEE INFOCOM, 2006.

H. Tembine, J. Boudec, R. El-azouzi, and E. Altman, Mean field asymptotics of Markov Decision Evolutionary Games and teams, 2009 International Conference on Game Theory for Networks, 2009.
DOI : 10.1109/GAMENETS.2009.5137395

URL : https://hal.archives-ouvertes.fr/hal-01321123

H. Tembine, P. Vilanova, and M. Debbah, Noisy mean field stochastic games with network applications, 2010.

J. N. Tsitsiklis and B. Van-roy, An analysis of temporal-difference learning with function approximation, IEEE Transactions on Automatic Control, vol.42, issue.5, pp.674-690, 1997.
DOI : 10.1109/9.580874