regret bound

Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning NeurIPS 2021 Fair Algorithms for Multi-Agent Multi-Armed Bandits NeurIPS 2021 Fast Rate Learning in Stochastic First Price Bidding ACML 2021 Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021 Federated Linear Contextual Bandits NeurIPS 2021 Federated Multi-Armed Bandits AAAI 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case ICML 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits NeurIPS 2021 Fully Gap-Dependent Bounds for Multinomial Logit Bandit AISTATS 2021 Generalized Linear Bandits with Local Differential Privacy NeurIPS 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NeurIPS 2021 Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits NeurIPS 2021 Impact of Representation Learning in Linear Bandits ICLR 2021 Impossible Tuning Made Possible: A New Expert Algorithm and Its Applications COLT 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021 Improved Regret Bounds for Tracking Experts with Memory NeurIPS 2021 Improved Regret Bounds of Bilinear Bandits using Action Space Analysis ICML 2021 Improved Regret for Zeroth-Order Stochastic Convex Bandits COLT 2021 Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP NeurIPS 2021 Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration AAAI 2021