Kenshi Abe
Research Scientist at 株式会社 サイバーエージェント
Chiyoda, Japan
Summary
👤
Senior🎓
Top SchoolKenshi Abe is a research scientist at CyberAgent’s AI Lab with nine years of experience focused on reinforcement learning, multi-agent systems, and imperfect-information games. He joined CyberAgent in 2018 after developing game programming skills at HAL Laboratory, bringing practical production insight to theoretical RL problems. Trained at Tokyo Institute of Technology in control systems engineering, he blends rigorous academic foundations with hands-on implementation for partially observable and multi-agent decision problems. Based in Chiyoda, Japan, Kenshi explores the intersection of game AI and RL, applying concepts from POMDPs to real-world research challenges and publishing work that bridges theory and applied game environments.
9 years of coding experience
学士, 制御システム工学, 学士, 制御システム工学 at 東京工業大学Tokyo Institute of Technology
Github Skills (27)
game-theory10
reinforcement-learning9
manifold9
monte-carlo9
planning9
q-learning8
cpp8
monte-carlo-tree-search8
python8
markov-decision-processes8
operations-research7
pong5
openai-gym4
deep-learning3
dqn3
Programming languages (3)
Github contributions (5)
bakanaouji/multi-armed-bandit
Feb 2018 - Sep 2018
Contributions:51 commits, 2 PRs, 40 pushes in 7 months
bakanaouji/deep-q-network
Dec 2016 - Jul 2018
Contributions:108 commits, 3 PRs, 93 pushes in 1 year 7 months
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