scientific article; zbMATH DE number 7255108

zbMath1499.68296arXiv1902.08036MaRDI QIDQ4969138

Pragnya Alatur, Kfir Y. Levy, Andreas Krause

Publication date: 5 October 2020

Full work available at URL: https://arxiv.org/abs/1902.08036

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

online learningsequential decision makingmulti-armed banditscognitive radio networksmulti-player problems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Communication networks in operations research (90B18) Sequential statistical analysis (62L10) Online algorithms; streaming algorithms (68W27) Compound decision problems in statistical decision theory (62C25)

Related Items (1)

Multiplayer Bandits Without Observing Collision Information

Cites Work

• Competitive collaborative learning
• Learning in a Changing World: Restless Multiarmed Bandit With Unknown Dynamics
• Distributed Learning in Multi-Armed Bandit With Multiple Players
• The Nonstochastic Multiarmed Bandit Problem
• Algorithms for Adversarial Bandit Problems with Multiple Plays
• Regret in Online Combinatorial Optimization
• Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
• Prediction, Learning, and Games
• Some aspects of the sequential design of experiments

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