Mjx: A framework for Mahjong AI research. - Sotetsu Koyamada; Keigo Habara; Nao Goto; Shinri Okano; Soichiro Nishimori; Shin Ishii (CoG, 2022)

Orthogonal Adversarial Deep Reinforcement Learning for Discrete- and Continuous-Action Problems. - Kohei Ohashi; Kosuke Nakanishi; Nao Goto; Yuji Yasui; Shin Ishii (IEEE Access, 2024)