Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Global Multi-armed Bandits with Holder Continuity
Analysis of Thompson Sampling for the multi-armed bandit problem
Context Attentive Bandits: Contextual Bandit with Restricted Context
Learning diverse rankings with multi-armed bandits
Calibrated Fairness in Bandits
Approximation Algorithms for Correlated Knapsacks and Non-martingale Bandits
Taming Non-stationary Bandits: A Bayesian Approach
Multinomial Logit Bandit with Linear Utility Functions
Time-Varying Gaussian Process Bandit Optimization
Lipschitz Continuity in Model-based Reinforcement Learning
Competing in the dark: an efficient algorithm for bandit linear optimization
Adaptive Concentration Inequalities for Sequential Decision Problems
Estimation Considerations in Contextual Bandits
Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations
Prior-free and prior-dependent regret bounds for Thompson Sampling
Thompson Sampling For Stochastic Bandits with Graph Feedback
Adaptive Monte Carlo via Bandit Allocation
Gambling in a rigged casino: The adversarial multi-armed bandit problem
Adaptive Machine Learning Winter 2018 Lecture 9 : Linear Bandits and Thompson Sampling
The Combinatorial Multi-armed Bandit problem and its application to real-time strategy games
Exponential Regret Bounds for Gaussian Process Bandits with Deterministic Observations
Using Deep Convolutional Neural Networks in Monte Carlo Tree Search
The principle and implementation of monopulse antenna angle error signal simulator
Inference of Channel Priorities for Asynchronous Communication
speech feature extraction techniques : a review .
Approximate Planning in Large POMDPs via Reusable Trajectories