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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, CS 2019-03-08
11:05
Kanagawa Shonan Institute of Technology A Study on the Problem which Monte-Carlo-Tree-Search can Search Efficiently
Tetsuhiro Kitade, Kunihiro Fujiyoshi (TUAT) CAS2018-140 CS2018-108
Monte-Carlo-Tree-Search is expected to be effective for the solution search of a combinatorial optimization problem and ... [more] CAS2018-140 CS2018-108
pp.9-14
VLD, HWS
(Joint)
2018-03-01
10:30
Okinawa Okinawa Seinen Kaikan A Motif Extraction Method Using Monte-Carlo Tree Search and its Experimental Evaluation
Yusuke Yuasa, Shinobu Nagayama, Masato Inagi, Shin'ichi Wakabayashi (Hiroshima City Univ.) VLD2017-108
Discovering a similar substring from multiple strings is called motif extraction. It is used in various fields including... [more] VLD2017-108
pp.115-120
IBISML 2016-03-17
16:10
Tokyo Institute of Statistical Mathematics Bayesian Monte-Carlo tree search method and its application to linear constrained nonlinear control problems
Ryo Otsuki, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) IBISML2015-98
For the nonlinear dynamics where the state transition is nonlinear with respect to the input, in general, we cannot obta... [more] IBISML2015-98
pp.31-38
CPSY, DC
(Joint)
2009-08-04
- 2009-08-05
Miyagi   Acceleration of Monte-Carlo Go by FPGA-based Hardware
Kenichi Koizumi (Univ. of Tokyo), Yasuo Ishii (NEC Corp.), Kazuki Yoshizoe (JST), Takefumi Miyoshi (Tokyo Inst. of Tech.), Yutaka Sugawara (IBM), Mary Inaba, Kei Hiraki (Univ. of Tokyo) CPSY2009-19
In the monte-carlo simulation of Go, it takes time to run playouts. There were attempts of accelerating
by implementing... [more]
CPSY2009-19
pp.55-60
 Results 1 - 4 of 4  /   
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