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Shogo Takeuchi
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2020 – today
- 2022
- [c11]Shogo Takeuchi
:
Comparison of Search Behaviors in Chess, Shogi, and the game of Go. TAAI 2022: 183-188
2010 – 2019
- 2019
- [c10]Shogo Takeuchi
Advice is Useful for Game AI: Experiments with Alpha-Beta Search Players in Shogi. ACG 2019: 1-10 - 2018
- [c9]Shogo Takeuchi
Weighted Majority Voting with a Heterogeneous System in the Game of Shogi. TAAI 2018: 122-125 - 2015
- [c8]Shogo Takeuchi
Estimating Ratings of Computer Players by the Evaluation Scores and Principal Variations in Shogi. ACIT-CSI 2015: 85-90 - [c7]Hiroyuki Hanada, Shuhei Denzumi, Yuma Inoue, Hiroshi Aoki, Norihito Yasuda, Shogo Takeuchi
Enumerating Eulerian Trails via Hamiltonian Path Enumeration. WALCOM 2015: 161-174 - [c6]Takahisa Toda, Shogo Takeuchi
Superset Generation on Decision Diagrams. WALCOM 2015: 317-322 - 2014
- [c5]Shogo Takeuchi, Takahisa Toda, Shin-ichi Minato:
A General Framework for Parallel Unary Operations on ZDDs. PAKDD Workshops 2014: 494-503 - 2013
- [c4]Yoshikuni Sato, Makoto Miwa, Shogo Takeuchi
Optimizing Objective Function Parameters for Strength in Computer Game-Playing. AAAI 2013: 869-875 - [c3]Shogo Takeuchi
Shared-Memory Parallel Frontier-Based Search. WALCOM 2013: 170-181 - 2010
- [j1]Shogo Takeuchi
Evaluation of Game Tree Search Methods by Game Records. IEEE Trans. Comput. Intell. AI Games 2(4): 288-302 (2010)
2000 – 2009
- 2008
- [c2]Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi
Evaluation of Monte Carlo tree search and the application to Go. CIG 2008: 191-198 - 2007
- [c1]Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguchi, Satoru Kawai:
Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability. AAAI 2007: 858-863
Coauthor Index
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