Presentation Information
[4P-297]A Reinforcement Learning Approach to Understanding Procrastination
〇Zheyu Feng1, Asako Mitsuto Nagase2,3, Kenji Morita1,4 (1.Graduate School of Education, The University of Tokyo, 2.Division of Neurology, Department of Brain and Neurosciences, Faculty of Medicine, Tottori University, 3.Research Fellowship for Young Scientists, Japan Society for the Promotion of Science, Tokyo, 4.International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo)
Keywords:
Procrastination,Reinforcement learning,Successor representation,Dimension reduction
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