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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2019-03-05
14:30
Tokyo RIKEN AIP Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning
Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN) IBISML2018-107
In reinforcement learning,the policy function may not be optimized properly if the observed state space is limited to lo... [more] IBISML2018-107
pp.17-22
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