multi-armed bandit

On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems NeurIPS 2019 On the Performance of Thompson Sampling on Logistic Bandits COLT 2019 Open Problem: Risk of Ruin in Multiarmed Bandits COLT 2019 Optimal Best Markovian Arm Identification with Fixed Confidence NeurIPS 2019 Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019 Optimal Testing in the Experiment-rich Regime AISTATS 2019 PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits ICML 2019 Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach AAAI 2019 Perturbed-History Exploration in Stochastic Multi-Armed Bandits IJCAI 2019 Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NeurIPS 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019 Pure Exploration with Multiple Correct Answers NeurIPS 2019 Recovering Bandits NeurIPS 2019 Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NeurIPS 2019 Regularized Contextual Bandits AISTATS 2019 Rotting bandits are no harder than stochastic ones AISTATS 2019 Sample complexity of partition identification using multi-armed bandits COLT 2019 Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019 SIC-MMAB: Synchronisation Involves Communication in Multiplayer Multi-Armed Bandits NeurIPS 2019 Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging ICML 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Structural Causal Bandits with Non-Manipulable Variables AAAI 2019 Thompson Sampling and Approximate Inference NeurIPS 2019 Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems JMLR 2019