Multi-Armed Bandits

Pure Exploration in Bandits with Linear Constraints AISTATS 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 Quantum Kernelized Bandits UAI 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation NeurIPS 2024 Randomized Strategic Facility Location with Predictions NeurIPS 2024 Reciprocal Learning NeurIPS 2024 Reinforcement Learning with Lookahead Information 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 Safe Linear Bandits over Unknown Polytopes COLT 2024 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection AAAI 2024 Scale-free Adversarial Reinforcement Learning COLT 2024 Second Order Methods for Bandit Optimization and Control COLT 2024 Sequential learning of the Pareto front for multi-objective bandits AISTATS 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 Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024 Stochastic contextual bandits with graph feedback: from independence number to MAS number NeurIPS 2024 Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024