Improved Rates for the Stochastic Continuum-Armed Bandit Problem, Lecture Notes in Computer Science, vol.4539, pp.454-468, 2007. ,
DOI : 10.1007/978-3-540-72927-3_33
Dynamic Programming, 1957. ,
Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem, IEEE Transactions on Power Systems, vol.28, issue.1, pp.52-63, 2013. ,
DOI : 10.1109/TPWRS.2012.2205021
Vayssì ere. Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing, ICINCO2010, p.10, 2010. ,
Online optimization in x-armed bandits, NIPS, pp.201-208, 2008. ,
URL : https://hal.archives-ouvertes.fr/inria-00329797
Continuous Upper Confidence Trees, LION'11: Proceedings of the 5th International Conference on Learning and Intelligent OptimizatioN, p.page TBA, 2011. ,
DOI : 10.1016/0196-8858(85)90002-8
URL : https://hal.archives-ouvertes.fr/hal-00835352
Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search, Proceedings of the 5th International Conference on Computers and Games, pp.72-83, 2006. ,
DOI : 10.1007/978-3-540-75538-8_7
URL : https://hal.archives-ouvertes.fr/inria-00116992
Computing elo ratings of move patterns in the game of go, Computer Games Workshop, 2007. ,
URL : https://hal.archives-ouvertes.fr/inria-00149859
Nearly tight bounds for the continuum-armed bandit problem, NIPS, 2004. ,
Bandit Based Monte-Carlo Planning, 15th European Conference on Machine Learning (ECML), pp.282-293, 2006. ,
DOI : 10.1007/11871842_29
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.102.1296
The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments, IEEE Transactions on Computational Intelligence and AI in games, 2009. ,
On the undecidability of probabilistic planning and related stochastic optimization problems, Artificial Intelligence, vol.147, issue.1-2, pp.5-34, 2003. ,
DOI : 10.1016/S0004-3702(02)00378-8
Sample-based planning for continuous action markov decision processes, ICAPS. AAAI, 2011. ,
Bandit-based planning and learning in continuous-action markov decision processes, ICAPS. AAAI, 2012. ,