adversarial bandit

Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017 An algorithm with nearly optimal pseudo-regret for both stochastic and adversarial bandits COLT 2016 Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits NeurIPS 2016 Refined Lower Bounds for Adversarial Bandits NeurIPS 2016 A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits ICML 2015 Combinatorial Bandits Revisited NeurIPS 2015 Fighting Bandits with a New Kind of Smoothness NeurIPS 2015 The Pareto Regret Frontier for Bandits NeurIPS 2015 One Practical Algorithm for Both Stochastic and Adversarial Bandits ICML 2014 Prediction with Limited Advice and Multiarmed Bandits with Paid Observations ICML 2014 From Bandits to Experts: On the Value of Side-Observations NeurIPS 2011 Using Confidence Bounds for Exploitation-Exploration Trade-offs JMLR 2002