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 with the thesis.

I love thinking of sort of questions like, "What if". For instance, what if we deploy our newly trained ranking algorithm on the recommender system? How much can it increase the total click or the revenue? So these kind of Counterfactual questions has long attracted me! And that's why I started learning ML.

  Work Experience
  • Research Intern, NAVER Clova AI Feb. 2020 - Apr. 2020
  • 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
  • 03/02/2020: Start: Internship @ NAVER, South Korea

[NEW] PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference
Masashi Okada, Norio Kosaka, Tadahiro Taniguchi
International Conference on Intelligent Robots and Systems(IROS) 2020, USA, Oct. 2020


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

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