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stat.ML2022★ 1 cited
Active Learning by Query by Committee with Robust Divergences
Hideitsu Hino, Shinto Eguchi
Active learning is a widely used methodology for various problems with high measurement costs. In active learning, the next object to be measured is selected by an acquisition func…
stat.ME2022
Minimum information divergence of Q-functions for dynamic treatment resumes
Shinto Eguchi
This paper aims at presenting a new application of information geometry to reinforcement learning focusing on dynamic treatment resumes. In a standard framework of reinforcement le…