multi-armed bandit

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations AAAI 2024 Personalized Federated X-armed Bandit AISTATS 2024 Piecewise-Stationary Bandits with Knapsacks NeurIPS 2024 Power Mean Estimation in Stochastic Monte-Carlo Tree Search UAI 2024 Preference-based Pure Exploration NeurIPS 2024 Privacy-Preserving UCB Decision Process Verification via zk-SNARKs IJCAI 2024 PRODuctive bandits: Importance Weighting No More NeurIPS 2024 Pure Exploration in Asynchronous Federated Bandits UAI 2024 Pure Exploration in Bandits with Linear Constraints AISTATS 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 Reciprocal Learning NeurIPS 2024 Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Scale-free Adversarial Reinforcement Learning COLT 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024 SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features AAAI 2024 Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NeurIPS 2024 Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NeurIPS 2024 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024 Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024 Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024 Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting NeurIPS 2024 Sum-max Submodular Bandits AISTATS 2024