Decentralized Learning for Multiplayer Multiarmed Bandits

DOI10.1109/TIT.2014.2302471zbMath1360.91038arXiv1206.3582OpenAlexW2061641373MaRDI QIDQ2986457

Rahul Jain, Dileep Kalathil, Naumaan Nayyar

Publication date: 16 May 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1206.3582

Mathematics Subject Classification ID

Rationality and learning in game theory (91A26) Probabilistic games; gambling (91A60)

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Bounded Regret for Finitely Parameterized Multi-Armed Bandits ⋮ Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs ⋮ Distributed cooperative decision making in multi-agent multi-armed bandits ⋮ Unnamed Item ⋮ Game of Thrones: Fully Distributed Learning for Multiplayer Bandits

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