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Online Learning for Linearly Parametrized Control Problems
16 references·2 citing·21 second hop
Online Learning for Linearly Parametrized Control Problems (2013)Online Learning for Linearly Parametrized…Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting (2012)Information-Theoretic Regret …Online Learning and Online Convex Optimization (2011)Online Learning and Online Co…Improved Algorithms for Linear Stochastic Bandits (2011)Improved Algorithms for Linea…Analysis of Thompson Sampling for the multi-armed bandit problem (2011)Analysis of Thompson Sampling…An Empirical Evaluation of Thompson Sampling (2011)An Empirical Evaluation of Th…Near-optimal Regret Bounds for Reinforcement Learning (2010)Near-optimal Regret Bounds fo…Linearly Parameterized Bandits (2010)Linearly Parameterized BanditsStochastic Linear Optimization Under Bandit Feedback (2008)Stochastic Linear Optimizatio…Multi-armed bandits in metric spaces (2008)Multi-armed bandits in metric…Nearly Tight Bounds for the Continuum-Armed Bandit Problem (2004)Nearly Tight Bounds for the C…PAC Bounds for Multi-armed Bandit and Markov Decision Processes (2002)PAC Bounds for Multi-armed Ba…Finite-time Analysis of the Multiarmed Bandit Problem (2002)Finite-time Analysis of the M…Competitive On‐line Statistics (2001)Competitive On‐line StatisticsExponentiated Gradient versus Gradient Descent for Linear Predictors (1997)Exponentiated Gradient versus…Bandit Processes and Dynamic Allocation Indices (1979)Bandit Processes and Dynamic …Some aspects of the sequential design of experiments (1952)Some aspects of the sequentia…Distributionally Robust Bayesian Optimization (2020)Distributionally Robust Bayes…Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions (2013)Online Learning in Markov Dec…The Nonstochastic Multiarmed Bandit Problem (2002)Regret Bounds for the Adaptive Control of Linear Quadratic Systems (2011)Confronting Deep Uncertainties in Risk Analysis (2012)A Tutorial on Thompson Sampling (2018)Multi-Armed Bandit Allocation Indices. (1990)Thompson Sampling for Contextual Bandits with Linear Payoffs (2012)Learning to Optimize via Posterior Sampling (2014)Introduction to Multi-Armed Bandits (2019)A Stochastic Approximation Method (1951)Prediction, Learning, and Games (2006)A general approach for predicting the behavior of the Supreme Court of the United States (2017)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)Bandit Algorithms (2020)Applied Statistical Decision Theory (1962)Applied Statistical Decision Theory. (1962)Restless bandits: activity allocation in a changing world (1988)Legislative leviathan: party government in the House (1993)Online convex optimization in the bandit setting: gradient descent without a gradient (2004)Introduction to Online Convex Optimization (2016)Introduction to Online Convex Optimization (2016)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)
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226 cited

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  • 2013Online Learning in Markov Decision Processes with Adversarially Chosen Transition Probability Distributions44 cited
  • 2020Distributionally Robust Bayesian Optimization30 cited