Optimistic Optimization of Deterministic Functions
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[1] Olivier Teytaud,et al. Modification of UCT with Patterns in Monte-Carlo Go , 2006 .
[2] Eldon Hansen,et al. Global optimization using interval analysis , 1992, Pure and applied mathematics.
[3] Luc De Raedt,et al. Proceedings of the 12th European Conference on Machine Learning , 2001 .
[4] R. Horst,et al. Global Optimization: Deterministic Approaches , 1992 .
[5] Peter Auer,et al. Finite-time Analysis of the Multiarmed Bandit Problem , 2002, Machine Learning.
[6] Lamberto Cesari,et al. Optimization-Theory And Applications , 1983 .
[7] R. B. Kearfott. Rigorous Global Search: Continuous Problems , 1996 .
[8] J D Pinter,et al. Global Optimization in Action—Continuous and Lipschitz Optimization: Algorithms, Implementations and Applications , 2010 .
[9] Peter Auer,et al. Improved Rates for the Stochastic Continuum-Armed Bandit Problem , 2007, COLT.
[10] Pavel Brazdil,et al. Proceedings of the European Conference on Machine Learning , 1993 .
[11] Ernst-Georg Krause,et al. Biochemical mechanisms in heart function , 1998 .
[12] C. T. Kelley,et al. Modifications of the direct algorithm , 2001 .
[13] D. Finkel,et al. Convergence analysis of the direct algorithm , 2004 .
[14] A. Neumaier. Interval methods for systems of equations , 1990 .
[15] C. D. Perttunen,et al. Lipschitzian optimization without the Lipschitz constant , 1993 .
[16] Rémi Munos,et al. Pure Exploration in Multi-armed Bandits Problems , 2009, ALT.
[17] Robert D. Kleinberg. Nearly Tight Bounds for the Continuum-Armed Bandit Problem , 2004, NIPS.
[18] Andreas Krause,et al. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting , 2009, IEEE Transactions on Information Theory.
[19] Jia Yuan Yu,et al. Lipschitz Bandits without the Lipschitz Constant , 2011, ALT.
[20] Y. D. Sergeyev,et al. Global Optimization with Non-Convex Constraints - Sequential and Parallel Algorithms (Nonconvex Optimization and its Applications Volume 45) (Nonconvex Optimization and Its Applications) , 2000 .
[21] Rémi Munos,et al. Optimistic Planning of Deterministic Systems , 2008, EWRL.
[22] R. Munos,et al. Best Arm Identification in Multi-Armed Bandits , 2010, COLT.
[23] Csaba Szepesvári,et al. Online Optimization in X-Armed Bandits , 2008, NIPS.
[24] Rémi Munos,et al. Bandit Algorithms for Tree Search , 2007, UAI.
[25] Aleksandrs Slivkins,et al. Multi-armed bandits on implicit metric spaces , 2011, NIPS.
[26] Csaba Szepesvári,et al. Bandit Based Monte-Carlo Planning , 2006, ECML.
[27] Csaba Szepesvári,et al. –armed Bandits , 2022 .
[28] Rémi Munos,et al. Open Loop Optimistic Planning , 2010, COLT.
[29] Eli Upfal,et al. Multi-Armed Bandits in Metric Spaces ∗ , 2008 .
[30] Bart De Schutter,et al. Optimistic planning for sparsely stochastic systems , 2011, 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).