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