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Regret Bounds for Satisficing in Multi-Armed Bandit Problems

Published in Transactions on Machine Learning Research, 2023

This paper explores the concept of satisficing in multi-armed bandit problems, where we aim to find solutions that exceed a satisfaction threshold rather than seeking optimal outcomes.

Recommended citation: Michel, T., Hajiabolhassan, H., & Ortner, R. (2023). "Regret Bounds for Satisficing in Multi-Armed Bandit Problems." Transactions on Machine Learning Research.
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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Undergraduate course, University 1, Department, 2014

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Workshop, University 1, Department, 2015

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