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

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.

My research interests: Model-based Planning(e.g., MPC) in RL, Offline Policy Evaluation(aka Counterfactual Evaluation), Listwise Recommender Systems.

My team at NAVER hosts a weekly study group in which we discuss a variety of ML topics, so please let me know if you are interested. Any topic is welcome so that let's discuss together!!

  Education
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  Publications
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[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

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

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