D. Foster and P. Young, Stochastic evolutionary game dynamics???, Theoretical Population Biology, vol.38, issue.2, pp.219-232, 1990.
DOI : 10.1016/0040-5809(90)90011-J

M. Kandori, G. J. Mailath, and R. Rob, Learning, Mutation, and Long Run Equilibria in Games, Econometrica, vol.61, issue.1, pp.29-56, 1993.
DOI : 10.2307/2951777

H. P. Young, The Evolution of Conventions, Econometrica, vol.61, issue.1, pp.57-84, 1993.
DOI : 10.2307/2951778

M. Kandori and R. Rob, Evolution of Equilibria in the Long Run: A General Theory and Applications, Journal of Economic Theory, vol.65, issue.2, pp.383-414, 1995.
DOI : 10.1006/jeth.1995.1014

A. Mahajan and D. Teneketzis, Foundations and Applications of Sensor Management, chapter Multi-armed Bandit Problems, pp.121-151, 2007.

A. Anandkumar, N. Michael, and A. Tang, Opportunistic Spectrum Access with Multiple Users: Learning under Competition, 2010 Proceedings IEEE INFOCOM, 2010.
DOI : 10.1109/INFCOM.2010.5462144

X. Chen and J. Huang, Spatial spectrum access game, Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing, MobiHoc '12, pp.205-214
DOI : 10.1145/2248371.2248401
URL : http://arxiv.org/abs/1405.3860

S. Iellamo, L. Chen, and M. Coupechoux, Proportional and double imitation rules for spectrum access in cognitive radio networks, Computer Networks, vol.57, issue.8, 2013.
DOI : 10.1016/j.comnet.2013.03.008
URL : https://hal.archives-ouvertes.fr/hal-00823365

G. Ellison, Basins of Attraction, Long-Run Stochastic Stability, and the Speed of Step-by-Step Evolution, Review of Economic Studies, vol.67, issue.1, 2000.
DOI : 10.1111/1467-937X.00119

T. Dieckmann, The evolution of conventions with mobile players, Journal of Economic Behavior & Organization, vol.38, issue.1, pp.93-111, 1999.
DOI : 10.1016/S0167-2681(98)00125-5

J. W. Friedman and C. Mezzetti, Learning in Games by Random Sampling, Journal of Economic Theory, vol.98, issue.1, pp.55-84, 2001.
DOI : 10.1006/jeth.2000.2694

J. R. Marden, H. P. Young, G. Arslan, and J. S. Shamma, Payoff-Based Dynamics for Multiplayer Weakly Acyclic Games, SIAM Journal on Control and Optimization, vol.48, issue.1, pp.373-396, 2009.
DOI : 10.1137/070680199

H. and P. Young, Learning by trial and error, Games and Economic Behavior, vol.65, issue.2, pp.626-643, 2009.
DOI : 10.1016/j.geb.2008.02.011

J. R. Marden, H. P. Young, and L. Y. Pao, Achieving pareto optimality through distributed learning, 2012 IEEE 51st Annual Conference on Decision and Control (CDC), pp.7419-7424, 2012.

S. R. Bary, H. P. Pradelski, and . Young, Learning efficient Nash equilibria in distributed systems, Games and Economic Behavior, vol.75, issue.2, pp.882-897, 2012.

P. Dean and . Foster, Regret testing: learning to play Nash equilibrium without knowing you have an opponent, 2006.

M. Zhu and S. Martínez, Distributed Coverage Games for Energy-Aware Mobile Sensor Networks, SIAM Journal on Control and Optimization, vol.51, issue.1, pp.1-27, 2013.
DOI : 10.1137/100784163

I. Milchtaich, Congestion Games with Player-Specific Payoff Functions, Games and Economic Behavior, vol.13, issue.1, pp.111-124, 1996.
DOI : 10.1006/game.1996.0027

C. Alós-ferrer, Learning, bounded memory, and inertia, Economics Letters, vol.101, issue.2, pp.134-136, 2008.
DOI : 10.1016/j.econlet.2008.07.008

D. Monderer and L. S. Shapley, Potential Games, Games and Economic Behavior, vol.14, issue.1, pp.124-143, 1996.
DOI : 10.1006/game.1996.0044

R. Cominetti, E. Melo, and S. Sorin, A payoff-based learning procedure and its application to traffic games, Games and Economic Behavior, vol.70, issue.1, pp.71-83, 2010.
DOI : 10.1016/j.geb.2008.11.012

R. Jain, D. Chiu, and W. Hawe, A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer Systems, 1984.