Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: An Empirical Evaluation of Thompson Sampling
Optimistic Bayesian sampling in contextual-bandit problems
Variational inference for the multi-armed contextual bandit
Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
A Survey of Exploration Strategies in Reinforcement Learning
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation
Context-Aware Bandits
Asynchronous Parallel Bayesian Optimisation via Thompson Sampling
Contextual Multi-Armed Bandits
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Stochastic Dual Coordinate Descent with Bandit Sampling.
Beating the adaptive bandit with high probability
Nearly Tight Bounds for the Continuum-Armed Bandit Problem
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Importance mixing: Improving sample reuse in evolutionary policy search methods
Why is Posterior Sampling Better than Optimism for Reinforcement Learning
AEMS: An Anytime Online Search Algorithm for Approximate Policy Refinement in Large POMDPs
(More) Efficient Reinforcement Learning via Posterior Sampling
Use of variance estimation in the multi-armed bandit problem
Perseus: Randomized Point-based Value Iteration for POMDPs
a family of algorithms for approximate bayesian inference .
The price of robustness
Multi-criteria decision making with skyline computation
Recommendations for Developing Technologies that Encourage Reading Practices Among Children in Families with Low-literate Adults
7 Ground-Penetrating Radar