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Committee Date Time Place Paper Title / Authors Abstract Paper #
IBISML 2011-11-09
15:45
Nara Nara Womens Univ. Modified Newton Approach to Policy Search
Hirotaka Hachiya (Tokyo Inst. of Tech.), Tetsuro Morimura (IBM Japan), Takaki Makino (Univ. of Tokyo), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2011-54
The natural policy gradient method was shown to be a useful approach to policy search in reinforcement learning. However... [more] IBISML2011-54
pp.79-85
IBISML 2010-11-05
15:30
Tokyo IIS, Univ. of Tokyo [Poster Presentation] Return distribution estimation with dynamic programming
Tetsuro Morimura (IBM Japan), Masashi Sugiyama (Tokyo Tech), Hisashi Kashima (Univ. of Tokyo), Hirotaka Hachiya (Tokyo Tech), Toshiyuki Tanaka (Kyoto Univ.) IBISML2010-98
(Advance abstract in Japanese is available) [more] IBISML2010-98
pp.283-290
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