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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

Online Pandora’s Boxes and Bandits AAAI 2019
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue AAAI 2019
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019
How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits AAAI 2019
Learning Resource Allocation and Pricing for Cloud Profit Maximization AAAI 2019
Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling AAAI 2019
DBA: Dynamic Multi-Armed Bandit Algorithm AAAI 2019
Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach AAAI 2019
Dueling Bandits with Qualitative Feedback AAAI 2019
Optimal Testing in the Experiment-rich Regime AISTATS 2019
Scalable Thompson Sampling via Optimal Transport AISTATS 2019
Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model IJCAI 2019
Improved Algorithm on Online Clustering of Bandits IJCAI 2019
Multi-Objective Generalized Linear Bandits IJCAI 2019
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits UAI 2019
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019
Be Greedy: How Chromatic Number meets Regret Minimization in Graph Bandits UAI 2019
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback UAI 2019
Learning to Bootstrap for Entity Set Expansion EMNLP 2019
Reducing Exploration of Dying Arms in Mortal Bandits UAI 2019
Bootstrapping Upper Confidence Bound NIPS 2019
Semi-Parametric Sampling for Stochastic Bandits with Many Arms AAAI 2019
Crawling the Community Structure of Multiplex Networks AAAI 2019
Best Arm Identification for Contaminated Bandits JMLR 2019