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Posts
portfolio
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publications
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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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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