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

CV | Scholar | Github | LinkedIn

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

My research interests: Reinforcement Learning, Recommender Systems, and Mathematics.

My team at LINE Corp. hosts a weekly partner reading session where we just read a paper altogether on the fly while discussing, so feel free to let me know if you are interested!

  Work Experience

[NEW] Know Your Action Set: Learning Action Relations for Reinforcement Learning
Ayush Jain*, Norio Kosaka*, Kyung-Min Kim, Joseph J Lim
International Conference on Learning Representations 2022, Apr. 2022


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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