Naoto Yoshida
特定研究員 クオリア構造の記号創発システム論 at 京都大学
Kyoto, Japan
Summary
👤
Senior🎓
Top SchoolNaoto Yoshida is a research scientist and Ph.D. candidate based in Kyoto, specializing in symbol emergence, qualia structure, and neural computation for autonomous agents. With 11 years of experience spanning mechanical engineering and information science (master’s from NAIST), he focuses on reinforcement learning theory and behavior design for robotics. He currently investigates how internal motivations drive symbol formation at Kyoto University and the University of Tokyo, blending theoretical ML with embodied robot experiments. Active on GitHub as "Ugoku-Namakemono," he frames himself as a behavior designer for autonomous robots, reflecting a hands-on approach to bridging neuroscience-inspired theory and robotic practice.
11 years of coding experience
博士, 情報理工学系研究科 知能機械情報学, 博士, 情報理工学系研究科 知能機械情報学 at 東京大学Master's degree, 情報科学, Master's degree, 情報科学 at 奈良先端科学技術大学院大学Bachelor of Engineering - BE, Bachelor of Engineering - BE at Tohoku University
Japanese, English
Github Skills (10)
deep-reinforcement-learning5
deep-learning4
openai-gym4
reinforcement-learning4
artificial-intelligence3
machine-learning3
java3
ai3
benchmarking2
pytorch1
Programming languages (3)
Github contributions (5)
ugo-nama-kun/DQN-chainer
Jul 2015 - Aug 2016
Contributions:32 commits, 30 pushes, 1 branch in 1 year
ugo-nama-kun/two_resource_environment
Jul 2020 - Jan 2021
Contributions:52 commits, 29 pushes, 4 branches in 5 months
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