Sotetsu Koyamada

According to our database, Sotetsu Koyamada authored at least 8 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

End-to-End Policy Gradient Method for POMDPs and Explainable Agents.

Soichiro Nishimori, Sotetsu Koyamada, Shin Ishii

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

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning.

Sotetsu Koyamada, Shinri Okano, Soichiro Nishimori, Yu Murata, Keigo Habara, Haruka Kita, Shin Ishii

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Mjx: A framework for Mahjong AI research.

Sotetsu Koyamada, Keigo Habara, Nao Goto, Shinri Okano, Soichiro Nishimori, Shin Ishii

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2020

Suphx: Mastering Mahjong with Deep Reinforcement Learning.

Junjie Li, Sotetsu Koyamada, Qiwei Ye, Guoqing Liu, Chao Wang, Ruihan Yang, Li Zhao, Tao Qin, Tie-Yan Liu, Hsiao-Wuen Hon

CoRR, 2020

2017

Neural Sequence Model Training via $α$-divergence Minimization.

Sotetsu Koyamada, Yuta Kikuchi, Atsunori Kanemura, Shin-ichi Maeda, Shin Ishii

CoRR, 2017

2015

Deep learning of fMRI big data: a novel approach to subject-transfer decoding.

Sotetsu Koyamada, Yumi Shikauchi, Ken Nakae, Masanori Koyama, Shin Ishii

CoRR, 2015

Principal Sensitivity Analysis.

Sotetsu Koyamada, Masanori Koyama, Ken Nakae, Shin Ishii

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015