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

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning. - Sotetsu Koyamada; Shinri Okano; Soichiro Nishimori; Yu Murata; Keigo Habara; Haruka Kita; Shin Ishii (NeurIPS, 2023)

Convergence analysis and acceleration of the smoothing methods for solving extensive-form games. - Keigo Habara; Ellen Hidemi Fukuda; Nobuo Yamashita (CoRR, 2023)

Pgx: Hardware-accelerated parallel game simulation for reinforcement learning. - Sotetsu Koyamada; Shinri Okano; Soichiro Nishimori; Yu Murata; Keigo Habara; Haruka Kita; Shin Ishii (CoRR, 2023)