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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
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 |
2023-03-02 09:55 |
Fukuoka |
Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
A Study on Improving Monte Carlo Tree Search Efficiency for Combinatorial Optimization Problems Yusuke Kobayashi, Kunihiro Fujiyoshi (TUAT) CAS2022-112 CS2022-89 |
(To be available after the conference date) [more] |
CAS2022-112 CS2022-89 pp.95-100 |
AI |
2022-02-28 16:20 |
Miyazaki |
Youth Hostel Sunflower MIYAZAKI (Primary: On-site, Secondary: Online) |
AI2021-25 |
(To be available after the conference date) [more] |
AI2021-25 pp.77-82 |
HWS, VLD [detail] |
2020-03-05 09:30 |
Okinawa |
Okinawa Ken Seinen Kaikan (Cancelled but technical report was issued) |
Monte Carlo Tree Search for routing of delivery drone Kota Iwasaki, Yasuhiro Takashima (Univ. of Kitakyushu) VLD2019-109 HWS2019-82 |
In recent years, delivery drone becomes realistic. Thus, it is important to solve the routing problem of delivery drone,... [more] |
VLD2019-109 HWS2019-82 pp.89-94 |
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 |
RECONF |
2015-09-18 09:25 |
Ehime |
Ehime University |
Trax solver based on machine-learned evaluation function Takuya Nakamichi, Yusuke Sonoda, Takayuki Matsuzaki, Motoki Amagasaki, Masahiro Iida, Morihiro Kuga, Toshinori Sueyoshi (Kumamoto Univ.) RECONF2015-33 |
We develop a solver of board game Trax. Our basic strategy is a common game tree search algorithm. We explore the best m... [more] |
RECONF2015-33 pp.7-12 |
CPSY, DC (Joint) |
2009-08-04 - 2009-08-05 |
Miyagi |
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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 |
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