Developing Computer Hex Using Global and Local Evaluation Based on Board Network Characteristics. - Kei Takada; Masaya Honjo; Hiroyuki Iizuka; Masahito Yamamoto (ACG, 2015)

Computer Hex Algorithm Using a Move Evaluation Method Based on a Convolutional Neural Network. - Kei Takada; Hiroyuki Iizuka; Masahito Yamamoto (CGW@IJCAI, 2017)

Reinforcement Learning for Creating Evaluation Function Using Convolutional Neural Network in Hex. - Kei Takada; Hiroyuki Iizuka; Masahito Yamamoto (TAAI, 2017)

Mohex Wins 2015 Hex 11×11 and Hex 13×13 Tournaments. - Ryan Hayward; Jakub Pawlewicz; Kei Takada; Ton van der Valk (J. Int. Comput. Games Assoc., 2017)

Hex 2018: MoHex3HNN over DeepEzo. - Chao Gao; Kei Takada; Ryan Hayward (J. Int. Comput. Games Assoc., 2019)

Reinforcement Learning to Create Value and Policy Functions Using Minimax Tree Search in Hex. - Kei Takada; Hiroyuki Iizuka; Masahito Yamamoto (IEEE Trans. Games, 2020)