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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 # |
IA, CQ, MIKA (Joint) |
2022-09-15 14:55 |
Hokkaido |
Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Artificial Intelligence Approaches for Curling Masahito Yamamoto (Hokkaido Univ.) CQ2022-32 |
Curling is a sport in which players compete for points by delivering stones on the ice, and is one of the official sport... [more] |
CQ2022-32 p.49 |
CNR |
2017-06-16 10:00 |
Tokyo |
Panasonic Lab. Tokyo |
Determining Strategies behind Moves in the Game of Go Vincent Richard, Masahiko Osawa, Michita Imai (Keio Univ.) CNR2017-1 |
[more] |
CNR2017-1 pp.1-6 |
IN, NV (Joint) |
2014-07-17 16:55 |
Hokkaido |
Hokkaido Univ. |
[Invited Talk]
Search Techinques and Distributed Computing in Computer Shogi Shogo Takeuchi (Hokkaido Univ.) IN2014-39 |
Computer Shogi has recently attracted media attention due to the results of Man-Machine matches between five professiona... [more] |
IN2014-39 pp.55-60 |
NC, MBE (Joint) |
2014-03-18 13:00 |
Tokyo |
Tamagawa University |
Layered Monte-Carlo planning method for incomplete information games and its application to Puyo-Puyo Ryo Otsuki, Shin-ichi Maeda, Shin Ishii (Kyoto Univ.) NC2013-136 |
Recently, the effectiveness of the game-tree search algorithm based on UCT and its applicability to the game Go have bee... [more] |
NC2013-136 pp.275-280 |
HCGSYMPO (2nd) |
2013-12-18 - 2013-12-20 |
Ehime |
Matsuyama Multi-Purpose Community Cente |
The action strategy of the mah-jong using an interdependence probability model Shogo Takahashi, Jun Rokui (Shima Univ) |
An information game problem is divided into a perfect information game and an incomplete information game. It is classif... [more] |
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COMP |
2009-09-14 13:35 |
Tottori |
Tottori University of Environmental Studies |
Parameter acquisition of an evaluation function for games by reinforcement learning Yasuhiro Tajima (Okayama Pref Univ.) COMP2009-28 |
On finite two-person zero-sum perfect-information games, we can find the best move by minmax search
on the game tree wi... [more] |
COMP2009-28 pp.21-26 |
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