exploration-exploitation tradeoff

Optimization as Estimation with Gaussian Processes in Bandit Settings AISTATS 2016 Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits NeurIPS 2015 Cornering Stationary and Restless Mixing Bandits with Remix-UCB NeurIPS 2015 Efficient Thompson Sampling for Online Matrix-Factorization Recommendation NeurIPS 2015 Weight Uncertainty in Neural Network ICML 2015 Bayes-Adaptive Simulation-based Search with Value Function Approximation NeurIPS 2014 Discovering, Learning and Exploiting Relevance NeurIPS 2014 Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes ICML 2014 Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization JMLR 2014 A Gang of Bandits NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Adaptive MCMC with Bayesian Optimization AISTATS 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Stochastic Bandit Based on Empirical Moments AISTATS 2012 An Empirical Evaluation of Thompson Sampling NeurIPS 2011 Committing Bandits NeurIPS 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011 Multi-armed bandits on implicit metric spaces NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Content-based Image Retrieval with Multinomial Relevance Feedback ACML 2010 Learning to Explore and Exploit in POMDPs NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009