Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Distributed Learning in Multi-Armed Bandit with Multiple Players
Finite-time Analysis of the Multiarmed Bandit Problem
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Distributed Learning over Unreliable Networks
Achieving Privacy in the Adversarial Multi-Armed Bandit
Deep Multi-User Reinforcement Learning for Distributed Dynamic Spectrum Access
Efficient Distributed Learning with Sparsity
Distributed Distributional Deterministic Policy Gradients
Distributed Primal–Dual Subgradient Method for Multiagent Optimization via Consensus Algorithms
Provable Optimal Algorithms for Generalized Linear Contextual Bandits
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks
A New Framework for Distributed Submodular Maximization
Fast Convergence of Regularized Learning in Games
Contextual Bandits in a Collaborative Environment
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
Multi-Dueling Bandits and Their Application to Online Ranker Evaluation
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies
A Distributional Perspective on Reinforcement Learning
Approximation Algorithms for Correlated Knapsacks and Non-martingale Bandits
Collaborative Filtering Bandits
Vicariously Learned Helplessness: The Role of Perceived Dominance and Prestige of a Model
A Serious Game for Eliciting Social Engineering Security Requirements
Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
Reinforcement Learning: An Introduction
Case Report: Contagious Ecthyma - Deviations in the Anatomical Appearance of Lesions in an Outbreak in Lambs in Israel