Sotetsu Koyamada

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 8

Top Topics

Reinforcement Learning

Top Venues

Publications

Haruka Kita, Sotetsu Koyamada, Yotaro Yamaguchi, Shin Ishii
A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI. CoRR (2024)
Sotetsu Koyamada, Soichiro Nishimori, Shin Ishii
A Batch Sequential Halving Algorithm without Performance Degradation. CoRR (2024)
Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning. NeurIPS (2023)
Soichiro Nishimori, Sotetsu Koyamada, Shin Ishii
End-to-End Policy Gradient Method for POMDPs and Explainable Agents. CoRR (2023)
Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii
Pgx: Hardware-accelerated parallel game simulation for reinforcement learning. CoRR (2023)
Sotetsu Koyamada, Keigo Habara, Nao Goto, Shinri Okano, Soichiro Nishimori, Shin Ishii
Mjx: A framework for Mahjong AI research. CoG (2022)
Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon
Suphx: Mastering Mahjong with Deep Reinforcement Learning. CoRR (2020)
Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii
Neural Sequence Model Training via $α$-divergence Minimization. CoRR (2017)
Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii
Principal Sensitivity Analysis. PAKDD (1) (2015)
Sotetsu Koyamada, Yumi Shikauchi, Ken Nakae, Masanori Koyama, Shin Ishii
Deep learning of fMRI big data: a novel approach to subject-transfer decoding. CoRR (2015)
Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii
Principal Sensitivity Analysis. CoRR (2014)