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Kei Takada
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2020 – today
- 2020
- [j3]Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto:
Reinforcement Learning to Create Value and Policy Functions Using Minimax Tree Search in Hex. IEEE Trans. Games 12(1): 63-73 (2020)
2010 – 2019
- 2019
- [j2]Chao Gao, Kei Takada, Ryan Hayward:
Hex 2018: MoHex3HNN over DeepEzo. J. Int. Comput. Games Assoc. 41(1): 39-42 (2019) - 2017
- [j1]Ryan Hayward, Jakub Pawlewicz, Kei Takada, Ton van der Valk:
Mohex Wins 2015 Hex 11×11 and Hex 13×13 Tournaments. J. Int. Comput. Games Assoc. 39(1): 60-64 (2017) - [c3]Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto:
Computer Hex Algorithm Using a Move Evaluation Method Based on a Convolutional Neural Network. CGW@IJCAI 2017: 19-33 - [c2]Kei Takada, Hiroyuki Iizuka, Masahito Yamamoto:
Reinforcement Learning for Creating Evaluation Function Using Convolutional Neural Network in Hex. TAAI 2017: 196-201 - 2015
- [c1]Kei Takada, Masaya Honjo, Hiroyuki Iizuka, Masahito Yamamoto:
Developing Computer Hex Using Global and Local Evaluation Based on Board Network Characteristics. ACG 2015: 235-246
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