Norio Kosaka(小坂 紀夫)
email: kosakaboat[at]

CV | Scholar | Github | LinkedIn

I finished MSc Machine Learning with Distinction at Royal Holloway University of London and worked on the intersection of Reinforcement Learning & Robotics for my Master Thesis. I am proud to be advised by Prof. Chris Watkins for the thesis.

My goal is to build an agent which is able to play RPG games, e.g., Pokemon!! So, basically my interest lies on RL and Video Games. More specifically, I am interested in how people understand to play RPGs which presumably requires quite a comprehension to follow the semantics of games. Otherwise, you would end up being with a level 100 Pikachu around the bush of the first town!!

  Work Experience
  • Research Intern, Panasonic Sep. 2019 - Dec. 2019
  • Research Intern, The Construct Apr. 2019 - Jul. 2019
  • DL/AI Research Engineer, Rakuten Inc. Jan. 2018 - Sep. 2018
  • Data Scientist/Marketer(and some Sales experience included), Rakuten Inc. Apr. 2015 - Jan. 2018
  • 3/9/2019: Site Release!!
  • 24/9/2019: Start: Internship @ Panasonic, Japan
  • 26/10/2019: Upload: Master Thesis

[NEW] Has it explored enough
Norio Kosaka
Master's Thesis at Royal Holloway, University of London, Sep. 2019

  Research Map
  • RL Envs
  • Origin of RL
  • Basics of RL
  Access Map

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