Junya Honda (Ph.D.)
Title
Unit Leader
Members
-
Unit LeaderJunya Honda
Introduction
[CLOSED] We are studying algorithms for problems requiring sequential decision making. In the most situations of decision making we do not have enough data or knowledge on the target and we have to explore the best choice with trial and error. Such problems are formulated as bandit problems where an agent tries to maximize the cumulative reward or find the action with the maximum expectation based on information obtained only from actually chosen actions. We are establishing achievable limits on these problems and constructing algorithms to achieve these limits.
Main Research Field
Computer Science
Research Field
Mathematics
Research Subjects
Bandit Problems
Experimental Design
Experimental Design
RIKEN Website URL
Poster(s)
- FY2019 Research Results(PDF 484KB) (Japanese version)
- FY2018 Research Results(PDF 480KB) (Japanese version)
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