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University of Southern California / Visiting research student
University of Southern California visiting research student, University College London, MSc Data Science and Machine Learning (distinction)
ロボット、強化学習、画像処理に全般に興味があり、現在は複雑なタスク（例えば家具の組み立てなど）をロボットが機械学習のアルゴリズムを使ってどのように解くことができるか、などを研究しています。 最終的には、複雑なタスクに置いて、汎用性が高くかつロバストなアルゴリズムを研究、開発をし実世界に応用できるようにしたいと考えています。
１枚の画像からどのようにして3Dのモデルを作るかに関するコンピューターグラフィクスの研究を行いました。
I worked on applying reinforcement learning to the simulation of the population dynamics of agents. https://arxiv.org/pdf/2002.03267.pdf My research work was accepted to IJCNN 2020 as a spotlight paper.
Probability Theory, Industrial Management, Machine learning, search engine and information retrieval, statistic method applied computer science Exchange student
サービスの改善 社内システムの最適化
教育事業でのメンター業務 社内システムの開発・改善 社内サービスの開発(Protospace, 就活TECH::CAPM) TECH::WORK新規事業責任者
iVS に向けてのプロトタイプ作成、コーポレートページ作成
I am currently working on research in developing algorithms to enable a robot to solve complex manipulation tasks in more realistic situations such as a cluttered environment. My work was accepted to CoRL 2020.
I participated Junction Hackathon in Finland during my exchange program in Sweden. My group made a fin-tech service to manage receipts easily and reduce consumption of unnecessary paper for the environment.
This News Recommender based on personal user data such as what articles a user has liked or disliked previously and global user data such as how many times all user have liked the article was implemented in the Search Engine and Information Retrieval course in KTH. We implemented this system with Elastic Search which is well-known open source. My responsibility was to implement entire design and backend system which is written in python.
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University of Southern California / Visiting research student
I participated Junction Hackathon in Finland during my exchange program in Sweden. My group made a fin-tech service to manage receipts easily and reduce consumption of unnecessary paper for the environment.
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