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adversarial bandit

62 papers

Papers

Adversarial Combinatorial Bandits with General Non-linear Reward Functions ICML 2021 Adversarial Dueling Bandits ICML 2021 Adversarial Linear Contextual Bandits with Graph-Structured Side Observations AAAI 2021 An Algorithm for Stochastic and Adversarial Bandits with Switching Costs ICML 2021 Approximation Theory Based Methods for RKHS Bandits ICML 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Mirror Descent and the Information Ratio COLT 2021 Regret Bounds for Batched Bandits AAAI 2021 Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021 Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm NeurIPS 2020 An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays AISTATS 2020 Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs NeurIPS 2020 Efficient and robust algorithms for adversarial linear contextual bandits COLT 2020 Exploration by Optimisation in Partial Monitoring COLT 2020 Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes ICML 2020 Bandits with Feedback Graphs and Switching Costs NeurIPS 2019 Connections Between Mirror Descent, Thompson Sampling and the Information Ratio NeurIPS 2019 MaxHedge: Maximizing a Maximum Online AISTATS 2019 On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits UAI 2019 Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NeurIPS 2019 Online learning with kernel losses ICML 2019 On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems NeurIPS 2019 Beyond the Hazard Rate: More Perturbation Algorithms for Adversarial Multi-armed Bandits JMLR 2018 An Improved Parametrization and Analysis of the EXP3++ Algorithm for Stochastic and Adversarial Bandits COLT 2017 Online Adaptation of an Attention-Based Neural Network for Natural Language Generation Interspeech 2017