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Sotetsu Koyamada — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Sotetsu Koyamada
6
papers ·
90
citations ·
4
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Suphx: Mastering Mahjong with Deep Reinforcement Learning
2020 · 85 citations
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning
2023 · 5 citations
Mahjax: A GPU-Accelerated Mahjong Simulator for Reinforcement Learning in JAX
2026
Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
2026
Neural Sequence Model Training via $α$-divergence Minimization
2017
End-to-End Policy Gradient Method for POMDPs and Explainable Agents
2023
Top co-authors
Shin Ishii
· 4
Soichiro Nishimori
· 4
Keigo Habara
· 2
Shinri Okano
· 2
and Masashi Sugiyama
· 1
Atsunori Kanemura
· 1
Chao Wang
· 1
Eason Yu
· 1
Guoqing Liu
· 1
Haruka Kita
· 1
Hsiao-Wuen Hon
· 1
Junjie Li
· 1
Topics
Value-Based
cs.AI
cs.LG
Model-Based RL
Game AI
Policy Gradient
Multi-Agent
Safe RL