multi-armed bandit

Lenient Regret for Multi-Armed Bandits AAAI 2021 Matrix games with bandit feedback UAI 2021 Max-Utility Based Arm Selection Strategy For Sequential Query Recommendations ACML 2021 Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021 Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NeurIPS 2021 Meta-Thompson Sampling ICML 2021 Misspecified Gaussian Process Bandit Optimization NeurIPS 2021 Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021 MOTS: Minimax Optimal Thompson Sampling ICML 2021 Multi-armed Bandit Requiring Monotone Arm Sequences NeurIPS 2021 Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization NeurIPS 2021 Multi-Armed Bandits with Cost Subsidy AISTATS 2021 Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021 Multiplayer Bandit Learning, from Competition to Cooperation COLT 2021 Multitask Bandit Learning Through Heterogeneous Feedback Aggregation AISTATS 2021 Nearest neighbor search under uncertainty UAI 2021 Near-Optimal Confidence Sequences for Bounded Random Variables ICML 2021 Near-Optimal MNL Bandits Under Risk Criteria AAAI 2021 Non-stationary Reinforcement Learning without Prior Knowledge: an Optimal Black-box Approach COLT 2021 No-regret Algorithms for Capturing Events in Poisson Point Processes ICML 2021 Observation-Free Attacks on Stochastic Bandits NeurIPS 2021 One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NeurIPS 2021 Online Multi-Armed Bandits with Adaptive Inference NeurIPS 2021 Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits NeurIPS 2021 On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021