Author of the publication

From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning

. Foundations and Trends® in Machine Learning, 7 (1): 1--129 (2014)
DOI: 10.1561/2200000038

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Distributional Reinforcement Learning With Quantile Regression., , , and . AAAI, page 2892-2901. AAAI Press, (2018)KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal., , , , , , , , , and 3 other author(s). CoRR, (2022)Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning., , , , , , , , , and 24 other author(s). CoRR, (2022)Concave Utility Reinforcement Learning: the Mean-field Game viewpoint., , , , , , , and . CoRR, (2021)An Analysis of Quantile Temporal-Difference Learning., , , , , , , , and . CoRR, (2023)Sensitivity Analysis Using Ito-circumflex--Malliavin Calculus and Martingales, and Application to Stochastic Optimal Control., and . SIAM J. Control and Optimization, 43 (5): 1676-1713 (2005)Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem., , , and . CoRR, (2013)The Uncertainty Bellman Equation and Exploration., , , and . CoRR, (2017)On Minimax Optimal Offline Policy Evaluation., , and . CoRR, (2014)An Analysis of Categorical Distributional Reinforcement Learning., , , , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 29-37. PMLR, (2018)