Exploration-Exploitation

Optimal Neural Codes for Control and Estimation NeurIPS 2014 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Stochastic Multi-Armed-Bandit Problem with Non-stationary Rewards NeurIPS 2014 The Blinded Bandit: Learning with Adaptive Feedback NeurIPS 2014 Adaptive Submodular Maximization in Bandit Setting NeurIPS 2013 A Gang of Bandits NeurIPS 2013 Eluder Dimension and the Sample Complexity of Optimistic Exploration NeurIPS 2013 (More) Efficient Reinforcement Learning via Posterior Sampling NeurIPS 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence NeurIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Hierarchical Optimistic Region Selection driven by Curiosity NeurIPS 2012 Risk-Aversion in Multi-armed Bandits NeurIPS 2012 Budgeted Optimization with Concurrent Stochastic-Duration Experiments NeurIPS 2011 Contextual Gaussian Process Bandit Optimization NeurIPS 2011 Multi-Bandit Best Arm Identification NeurIPS 2011 Optimistic Optimization of a Deterministic Function without the Knowledge of its Smoothness NeurIPS 2011 Predicting Dynamic Difficulty NeurIPS 2011 Learning from Logged Implicit Exploration Data NeurIPS 2010 Parametric Bandits: The Generalized Linear Case NeurIPS 2010 Random Walk Approach to Regret Minimization NeurIPS 2010 Learning to Explore and Exploit in POMDPs NeurIPS 2009 The Infinite Partially Observable Markov Decision Process NeurIPS 2009 Algorithms for Infinitely Many-Armed Bandits NeurIPS 2008