multi-armed bandit

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 Dueling Bandits with Adversarial Sleeping NeurIPS 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 Dynamic Planning and Learning under Recovering Rewards ICML 2021 DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation ICLR 2021 Efficient Algorithms for Stochastic Repeated Second-price Auctions ALT 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021 Epsilon Best Arm Identification in Spectral Bandits IJCAI 2021 Fair Algorithms for Multi-Agent Multi-Armed Bandits NeurIPS 2021 Fair Exploration via Axiomatic Bargaining NeurIPS 2021 Fairness of Exposure in Stochastic Bandits ICML 2021 Federated Linear Contextual Bandits NeurIPS 2021 Federated Multi-Armed Bandits AAAI 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Fully Gap-Dependent Bounds for Multinomial Logit Bandit AISTATS 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NeurIPS 2021 Hoeffding's Inequality for General Markov Chains and Its Applications to Statistical Learning JMLR 2021 Human-AI Collaboration with Bandit Feedback IJCAI 2021 Identification of the Generalized Condorcet Winner in Multi-dueling Bandits NeurIPS 2021 Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences ICML 2021 Indexed Minimum Empirical Divergence for Unimodal Bandits NeurIPS 2021 Learning Equilibria in Matching Markets from Bandit Feedback NeurIPS 2021 Learning User Preferences in Non-Stationary Environments AISTATS 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021