Akihiro Kishimoto

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Radu MarinescuIBM ResearchVerified email at ie.ibm.com
Jonathan SchaefferUniversity of AlbertaVerified email at ualberta.ca
Martin MüllerProfessor, Computing Science, University of AlbertaVerified email at ualberta.ca
Elizabeth M. DalyIBM ResearchVerified email at ie.ibm.com
Alex FukunagaThe University of TokyoVerified email at idea.c.u-tokyo.ac.jp
Paul LuProfessor of Computing Science, University of AlbertaVerified email at ualberta.ca
Yngvi BjörnssonProfessor, Department of Computer Science/CADIA, Reykjavik University, IcelandVerified email at ru.is
Neil BurchSony AI & Alberta Machine Intelligence Institute, University of AlbertaVerified email at ualberta.ca
Kazuki YoshizoeKyushu UniversityVerified email at cc.kyushu-u.ac.jp
Joe Naoum-SawayaIvey Business School, University of Western OntarioVerified email at uwaterloo.ca
Bradley J EckIBM ResearchVerified email at ie.ibm.com
Hiroshi KajinoN/AVerified email at rs.tus.ac.jp
Spyros KotoulasMonzoVerified email at fb.com
Takeru InoueNTT Network Innovation Labs.Verified email at ieee.org
Koji TsudaProfessor, GSFS, The University of TokyoVerified email at k.u-tokyo.ac.jp
Ryo YoshinakaTohoku UniversityVerified email at tohoku.ac.jp
Yasuhiro HayashiProfessor of Electrical Engineering & Bioscience, Waseda UniversityVerified email at list.waseda.jp
Tomoyuki KanekoThe University of TokyoVerified email at graco.c.u-tokyo.ac.jp
bissan ghaddarIvey Business SchoolVerified email at uwaterloo.ca
Nathan SturtevantUniversity of Alberta, Alberta Machine Intelligence Institute (Amii)Verified email at ualberta.ca

Akihiro Kishimoto

NVIDIA

Verified email at is.titech.ac.jp

Artificial Intelligence Parallel Computing Distributed Computing Heuristic Search


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Checkers is solved J Schaeffer, N Burch, Y Bjornsson, A Kishimoto, M Muller, R Lake, P Lu, ... science 317 (5844), 1518-1522, 2007	685	2007
A Lagrangian decomposition approach for the pump scheduling problem in water networks B Ghaddar, J Naoum-Sawaya, A Kishimoto, N Taheri, B Eck European Journal of Operational Research 241 (2), 490-501, 2015	142	2015
On the complexity of quantum circuit compilation A Botea, A Kishimoto, R Marinescu Proceedings of the International Symposium on Combinatorial Search 9 (1 …, 2018	131	2018
Scalable, parallel best-first search for optimal sequential planning A Kishimoto, A Fukunaga, A Botea Proceedings of the International Conference on Automated Planning and …, 2009	102	2009
Solving checkers J Schaeffer, Y Björnsson, N Burch, A Kishimoto, R Lake, P Lu, S Sutphen Proceedings of the 19th international joint conference on Artificial …, 2005	97	2005
Distribution loss minimization with guaranteed error bound T Inoue, K Takano, T Watanabe, J Kawahara, R Yoshinaka, A Kishimoto, ... IEEE Transactions on Smart Grid 5 (1), 102-111, 2014	94	2014
Game-tree search using proof numbers: The first twenty years A Kishimoto, MHM Winands, M Müller, JT Saito ICGA journal 35 (3), 131-156, 2012	69	2012
Incremental search based multi-modal journey planning A Botea, E Daly, A Kishimoto US Patent 11,158,010, 2021	66	2021
Simultaneously searching with multiple settings: An alternative to parameter tuning for suboptimal single-agent search algorithms R Valenzano, N Sturtevant, J Schaeffer, K Buro, A Kishimoto Proceedings of the International Conference on Automated Planning and …, 2010	65	2010
Evaluation of a simple, scalable, parallel best-first search strategy A Kishimoto, A Fukunaga, A Botea Artificial Intelligence 195, 222-248, 2013	63	2013
Depth-first proof-number search with heuristic edge cost and application to chemical synthesis planning A Kishimoto, B Buesser, B Chen, A Botea Advances in Neural Information Processing Systems 32, 2019	62	2019
A general solution to the graph history interaction problem A Kishimoto, M Müller Proceedings of the 19th national conference on Artifical intelligence, 644-649, 2004	58	2004
Scalable distributed monte-carlo tree search K Yoshizoe, A Kishimoto, T Kaneko, H Yoshimoto, Y Ishikawa Proceedings of the International Symposium on Combinatorial Search 2 (1 …, 2011	57	2011
Evaluating root parallelization in Go Y Soejima, A Kishimoto, O Watanabe IEEE Transactions on Computational Intelligence and AI in Games 2 (4), 278-287, 2010	52	2010
Df-pn in Go: An application to the one-eye problem A Kishimoto, M Müller Advances in Computer Games: Many Games, Many Challenges, 125-141, 2004	52	2004
A Novel Technique for Avoiding Plateaus of Greedy Best-First Search in Satisﬁcing Planning T Imai, A Kishimoto Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 985-991, 2011	47	2011
Lambda Depth-First Proof Number Search and Its Application to Go. K Yoshizoe, A Kishimoto, M Müller IJCAI, 2404-2409, 2007	47	2007
Search versus knowledge for solving life and death problems in Go A Kishimoto, M Müller AAAI, 1374-1379, 2005	47	2005
Correct and efficient search algorithms in the presence of repetitions A Kishimoto	43	2005
Monte Carlo Go has a way to go H Yoshimoto, K Yoshizoe, T Kaneko, A Kishimoto, K Taura AAAI 6, 1070-1075, 2006	33	2006

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