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A penalized bandit algorithm

  
@article{EJP489,
	author = {Damien Lamberton and Gilles Pagès},
	title = {A penalized bandit algorithm},
	journal = {Electron. J. Probab.},
	fjournal = {Electronic Journal of Probability},
	volume = {13},
	year = {2008},
	keywords = {Two-armed bandit algorithm; penalization; stochastic approximation; convergence rate; learning},
	abstract = {We study a two armed-bandit recursive algorithm with penalty. We show that  the algorithm   converges towards its ``target" although it always has a noiseless ``trap". Then, we elucidate the rate of convergence. For some choices of the parameters, we obtain a central limit  theorem in which the limit distribution is characterized as the unique stationary distribution of a  Markov process with jumps.},
	pages = {no. 13, 341-373},
	issn = {1083-6489},
	doi = {10.1214/EJP.v13-489},    
        url = {http://ejp.ejpecp.org/article/view/489}}