Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: A Neural Networks Committee for the Contextual Bandit Problem
Thompson Sampling for Contextual Bandits with Linear Payoffs
Contextual Gaussian Process Bandit Optimization
Algorithms for the multi-armed bandit problem
Multi-armed bandit algorithms and empirical evaluation
Infinitely Many-Armed Bandits with Budget Constraints
Simulation studies in optimistic bayesian sampling in contextual-bandit problems
Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Beating the adaptive bandit with high probability
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
The budgeted multi-armed bandit problem
Nearly Tight Bounds for the Continuum-Armed Bandit Problem
Contextual Dueling Bandits
Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits
Finite-time Analysis of the Multiarmed Bandit Problem
Combinatorial Pure Exploration of Multi-Armed Bandits
A Survey of Preference-Based Online Learning with Bandit Algorithms
Pure exploration in multi-armed bandits problems
Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
Algorithms for adversarial bandit problems with multiple plays
Multi-armed bandit problems with dependent arms
Effect of Physical Contact (Hand-Holding) on Heart Rate Variability
The effectiveness of multimedia visual perceptual training groups for the preschool children with developmental delay
IDReAM: intrusion detection and response executed with agent mobility architecture and implementation
Learning Echo Paths During Continuous Double-Talk Using Semi-Blind Source Separation
Using Confidence Bounds for Exploitation-Exploration Trade-offs