Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting
The Sample Complexity of Exploration in the Multi-Armed Bandit Problem
Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations
Adaptive Monte Carlo via Bandit Allocation
Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
action elimination and stopping conditions for the multi - armed bandit and reinforcement learning problems .
Stochastic Dual Coordinate Descent with Bandit Sampling.
Further Optimal Regret Bounds for Thompson Sampling
Finite-Time Analysis of Kernelised Contextual Bandits
Stochastic Contextual Bandits with Known Reward Functions
Learning diverse rankings with multi-armed bandits
Time-Varying Gaussian Process Bandit Optimization
Thompson Sampling For Stochastic Bandits with Graph Feedback
Budgeted Bandit Problems with Continuous Random Costs
Simulation studies in optimistic bayesian sampling in contextual-bandit problems
A Neural Networks Committee for the Contextual Bandit Problem
An Information-Theoretic Analysis of Thompson Sampling
Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
Thompson Sampling is Asymptotically Optimal in General Environments
An Empirical Evaluation of Thompson Sampling
Multi-Armed Bandits for Intelligent Tutoring Systems
Pure exploration in multi-armed bandits problems
Direct Active and Reactive Power Regulation of DFIG Using Sliding-Mode Control Approach
Thyroid Hormone and Seasonal Rhythmicity
Automation of Android Applications Testing Using Machine Learning Activities Classification
A wide band CMOS RF power detector