Exploration-Exploitation

Linear Stochastic Bandits Under Safety Constraints NeurIPS 2019 MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NeurIPS 2019 Model Selection for Contextual Bandits NeurIPS 2019 Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric NeurIPS 2019 Nonstochastic Multiarmed Bandits with Unrestricted Delays NeurIPS 2019 Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games AAAI 2019 On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems NeurIPS 2019 Open Problem: Risk of Ruin in Multiarmed Bandits COLT 2019 Policy Optimization with Model-Based Explorations AAAI 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Thresholding Bandit with Optimal Aggregate Regret NeurIPS 2019 Adaptive Learning with Unknown Information Flows NeurIPS 2018 A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NeurIPS 2018 Bandit Learning with Positive Externalities NeurIPS 2018 Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments NeurIPS 2018 Community Exploration: From Offline Optimization to Online Learning NeurIPS 2018 Context-dependent upper-confidence bounds for directed exploration NeurIPS 2018 Differentially Private Contextual Linear Bandits NeurIPS 2018 Factored Bandits NeurIPS 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Optimization over Continuous and Multi-dimensional Decisions with Observational Data NeurIPS 2018 Policy Regret in Repeated Games NeurIPS 2018 Action Centered Contextual Bandits NeurIPS 2017 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NeurIPS 2017 A KL-LUCB algorithm for Large-Scale Crowdsourcing NeurIPS 2017