grant
CAREER: Foundations of Interactive Machine Learning with Rich Feedback
Organization University of ArizonaLocation TUCSON, United StatesPosted 1 Aug 2025Deadline 31 Jul 2030
NSFUS FederalResearch GrantScience FoundationAZ
Description preview
Distinct from conventional learning paradigms, interactive machine learning captures many real-world settings where learning agents adaptively acquire information and learn to make decisions or gain insights. This paradigm is beneficial in domains where experiments are expensive (e.g., biological imaging and material discovery), as well as in…
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