Norio Kosaka

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

Norio completed an MSc in Mathematics at Birkbeck, University of London, with a thesis titled "Overview of Riemann surfaces." with the supervision of Prof. Ben Fairbairn. He also did an MSc in Machine Learning with Distinction at Royal Holloway University of London, focusing on the intersection of Reinforcement Learning and Robotics for his Master's Thesis, under the guidance of Prof. Chris Watkins.

Research interests: Mathematics (Riemann surface, Hyperbolic geometry, and Algebric geometry) and Machine / Reinforcement Learning

Education

MSc in Mathematics (Merit), Birkbeck, University of London Oct. 2021 - Oct. 2023
Graduate Certificate in Pure Mathematics (Merit), Birkbeck, University of London Jan. 2021 - Jul. 2021
MSc Machine Learning (Distinction), Royal Holloway, University of London Sep. 2018 - Sep. 2019
B.A. in Commerce (GPA: 3.26), Waseda University, Tokyo Apr. 2011 - Mar. 2015

Work Experience

Researcher, LY Corp. Oct. 2023 -
Researcher, LINE Corp. Jul. 2022 - Oct. 2023
Research Engineer, NAVER Clova AI Nov. 2020 -
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, Rakuten Inc. Apr. 2015 - Jan. 2018

Mathematics

Introduction to χ-boundedness Norio Kosaka Essay Project, 2022.
Overview of Riemann Surfaces (Talk) Norio Kosaka MSc Thesis at Birkbeck, University of London, 2023.
Visualizing Dirichlet Domains Norio Kosaka Project, 2024.

Machine Learning

	Enhancing Actor-Critic Decision-Making with Afterstate Models for Continuous Control Norio Kosaka ICML Workshop: Aligning Reinforcement Learning Experimentalists and Theorists, 2024
	Direct Preference-based Policy Optimization without Reward Modeling *Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song* Neural Information Processing Systems (NeurIPS), 2023
	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 (ICLR) 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
	Hindsight Experience Replay on ROS Norio Kosaka ROSDevCon19, Jun. 2019

Access Map

Template: this