Finite-time Analysis of the Multiarmed Bandit Problem, Machine Learning, vol.47, issue.2/3, pp.235-256, 2002. ,
DOI : 10.1023/A:1013689704352
Online Stochastic Optimization under Correlated Bandit Feedback, International Conference on Machine Learning, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01080138
Pure exploration in finitely-armed and continuous-armed bandits, Theoretical Computer Science, vol.412, issue.19, pp.1832-1852, 2011. ,
DOI : 10.1016/j.tcs.2010.12.059
URL : https://hal.archives-ouvertes.fr/hal-00609550
X-armed Bandits, Journal of Machine Learning Research, vol.12, pp.1587-1627, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00450235
Lipschitz Bandits without the Lipschitz Constant, Algorithmic Learning Theory, 2011. ,
DOI : 10.1007/978-3-642-24412-4_14
URL : https://hal.archives-ouvertes.fr/hal-00595692
Adaptive-treed bandits, Bernoulli, vol.21, issue.4, pp.2289-2307, 2015. ,
DOI : 10.3150/14-BEJ644SUPP
Unimodal Bandits without Smoothness ArXiv e-prints: http://arxiv.org/abs/1406, 2015. ,
Bandit Algorithms for Tree Search, In Uncertainty in Artificial Intelligence, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00150207
Multi-armed Bandit Problems in Metric Spaces, Symposium on Theory Of Computing, 2008. ,
Bandit Based Monte-Carlo Planning, European Conference on Machine Learning, 2006. ,
DOI : 10.1007/11871842_29
Optimistic Optimization of Deterministic Functions without the Knowledge of its Smoothness, Neural Information Processing Systems, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00830143
From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning, Machine Learning, pp.1-130, 2014. ,
DOI : 10.1561/2200000038
URL : https://hal.archives-ouvertes.fr/hal-00747575
Bandits attack function optimization, 2014 IEEE Congress on Evolutionary Computation (CEC), 2014. ,
DOI : 10.1109/CEC.2014.6900558
URL : https://hal.archives-ouvertes.fr/hal-00978637
Multi-armed Bandits on Implicit Metric Spaces, Neural Information Processing Systems, 2011. ,
Stochastic Simultaneous Optimistic Optimization, International Conference on Machine Learning, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00789606