Sotetsu Koyamada | DeepAI

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Featured Co-authors

Tie-Yan Liu
176 publications
Chao Wang
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Tao Qin
134 publications
Junjie Li
25 publications
Li Zhao
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Shin-ichi Maeda
23 publications
Masanori Koyama
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Ruihan Yang
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Shin Ishii
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Guoqing Liu
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Qiwei Ye
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∙ 04/19/2023

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

Real-world decision-making problems are often partially observable, and ...

0 Soichiro Nishimori, et al. ∙

∙ 03/29/2023

Pgx: Hardware-accelerated parallel game simulation for reinforcement learning

We propose Pgx, a collection of board game simulators written in JAX. Th...

0 Sotetsu Koyamada, et al. ∙

∙ 03/30/2020

Suphx: Mastering Mahjong with Deep Reinforcement Learning

Artificial Intelligence (AI) has achieved great success in many domains,...

0 Junjie Li, et al. ∙

∙ 06/30/2017

Neural Sequence Model Training via α-divergence Minimization

We propose a new neural sequence model training method in which the obje...

0 Sotetsu Koyamada, et al. ∙

∙ 01/31/2015

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

As a technology to read brain states from measurable brain activities, b...

0 Sotetsu Koyamada, et al. ∙

∙ 12/21/2014

Principal Sensitivity Analysis

We present a novel algorithm (Principal Sensitivity Analysis; PSA) to an...

0 Sotetsu Koyamada, et al. ∙

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