Takayuki Osogami
Short Bio
Takayuki Osogami is a senior technical staff member and the manager of the mathematical sciences group at IBM Research - Tokyo. He is currently leading global research projects on reinforcement learning, industrial applications of reinforcement learning, automation of decision optimization with reinforcement learning, multi-agent reinforcement learning, and integration of learning and game theory. He was a group leader of a governmental project supported by Core Research for Evolutionary Science and Technology, Japan Science and Technology Agency during 2013-2019, where his group developed and applied theory of sequential decision making, human behavior modeling, and neuromorphic computing. He received his Ph.D. in Computer Science from Carnegie Mellon University in August 2005, and a B.Eng. degree in Electronic Engineering from the University of Tokyo in 1998. He was selected as one of the Researchers with Nice Step 2020 by the National Institute of Science and Technology Policy (NISTEP) of the Ministry of Education, Culture, Sports, Science and Technology.
1998年よりIBM東京基礎研究所に勤務。2019年より同所シニア・テクニカル・スタッフ・メンバー、2020年より同所数理科学グループ担当。現在は、強化学習、強化学習の産業応用、強化学習による意思決定の自動化、マルチエージェント強化学習、強化学習とゲーム理論の融合にかかわるグローバル・プロジェクトをリード。2013年から2019年まで、JST-CRESTの研究課題「ディープナレッジを価値につなげるための意思決定最適化技術」を主たる共同研究者としてリード。1998年東京大学工学部電子工学科卒業。2005年カーネギーメロン大学コンピュータサイエンス学部コンピュータサイエンス学科博士号取得。科学技術への顕著な貢献2020(ナイスステップな研究者)。2010年日本オペレーションズ・リサーチ学会文献賞奨励賞受賞。2015年待ち行列研究部会論文賞受賞。
Research Overview
My research seeks to answer the question of how to make good decisions under uncertainties, where humans tend to make irrational decisions. Uncertainties come up everywhere particularly when we make decisions in consideration of the future or other decision makers. Human intuitions often fail under such uncertainties, and good decisions must be made on the basis of stochastic modeling, analysis, and optimization in a formal manner by fully exploiting available data.
My recent focus has been on sequential decision making under uncertainties, where one chooses actions iteratively in consideration of the benefit in the long term. Time-series learning has also been a focus as a building block or a subproblem of sequential decision making. A representative work in the context of time-series learning is on the dynamic Boltzmann machine (DyBM). Sequential decision making under uncertainties becomes particularly difficult when we take into account risk or multiple agents, and much of my research deals with those difficulties.
As a researcher at IBM, I have a strong desire to develop new technologies, from my research, that will have major impacts on business, society, or science. I believe that the role of a researcher is to solve problems that need to be solved but cannot be solved with existing technologies and to do so by developing new technologies.
Articles on My Work / Myself
Press release
A.I.等の先進的テクノロジーを活用した市場予兆管理ツールを開発〈みずほ〉の「有価証券ポートフォリオ運営の高度化」に向けた取り組みを加速, 株式会社みずほフィナンシャルグループ株式会社、みずほ銀行、日本アイ・ビー・エム株式会社 プレスリリース, 2018年3月27日
エスティライフと日本IBM、ライフプラン作成支援システムを実証 - ユーザーの価値観に合わせた商品提案を実現, 日本アイ・ビー・エム株式会社プレスリリース, 2015年10月28日
コンピューターが生物のように学習する方法をIBM東京基礎研究所の研究員が実証, 日本アイ・ビー・エム株式会社プレスリリース, 2015年9月16日
Newspapers
家計変遷 手軽に試算, 日経産業新聞, 2015年10月29日
生物の神経回路に近い学習則, 日経産業新聞, 2015年9月29日
Online media
先読み不可能なシチュエーションでも先を読むAI, NewsPicks, 2019/3/25
ニューラルネットワーク、進化の最前線――生物により近い機械学習を可能にする「動的ボルツマンマシン」, Mugendai (無限大), 2018/8/28
最先端AI研究者に改めて聞く。「人工神経」とは【後編】, NewsPicks, 2018/8/7
最先端AI研究者に改めて聞く。「人工神経」とは【前編】, NewsPicks, 2018/8/6
CeBIT 2017 生体をヒントにIoTデバイスの計算量を削減、日本IBM, 日経テクノロジーonline, 2017年3月21日
IBM東京基礎研、生物神経回路に近いニューラルネット, 日本経済新聞 電子版, 2015年9月18日
より生物に近い機械学習の実現を目指し: IBM研究所、動的なパターンを学習できる人工ニューラルネットワークモデルを開発――自動車事故の予測や、作曲、文章校正にも応用できる可能性, @IT, 2015年09月17日
IBM東京基礎研、より生物の神経回路に近い人工ニューラルネット「DyBM」を提案, ITPro 日経コンピュータ, 2015年9月17日
IBM東京基礎研究所、コンピューターがより生物に近い学習を行うことを実証, Biz/Zineニュース, 2015年9月17日
Blogs
IBM東京基礎研究所「NeurIPS 2018」のAIゲームコンペティション、圧勝の秘密, THINK Blog Japan, March 28, 2019
Real-Time Sequential Decision-Making by Autonomous Agents, IBM Research, March 6, 2019
An Introduction to Boltzmann Machines with Memory: Dynamic Boltzmann Machines, IBM Analytics Inside Machine Learning, January 4, 2019
Tired of answering questions? Let a smart machine help, IBM Research, November 19, 2015.
Mimicking Neurons With Math, IBM Research, September 16, 2015.
TV
セルビア国営放送RTS, 2017年3月27日 YouTube
Magazines
"人間の不合理さを超えて," 数理科学の匠, ProVISION, No. 83, pp. 28-29, Fall 2014. PDF
"マルコフ決定過程を活用した意思決定技術," IBM Researchテクノロジー最前線 第4回, ProVISION, No.70, pp.76-77, Summer 2011. PDF
Academic / Professional Services
Member of Governmental or Academic Committee
産業数学の先進的・基礎的共同研究拠点 共同利用・共同研究委員会委員 (a committee for collaborative research); member (April 2017 - )
産業数学の先進的・基礎的共同研究拠点 国際プロジェクト委員会委員 (November 2021 - )
数学アドバンストイノベーションプラットフォーム 運営委員 (April 2017 - April 2020)
数学協働プログラム (Coop with Math Program); acting member (August 2013 - April 2015), full member (April 2015 - March 2017)
Member of Steering Committee
電子情報通信学会総合大会プログラム編成委員(2019, 2021)
IBISML研究会専門委員 (Apr. 2016 - Mar. 2022)
第19回情報論的学習理論ワークショップ (IBIS 2016)
確率モデルシンポジウム (Symposium on Stochastic Models and Their Applications; 2013,2014).
待ち行列シンポジウム: 確率モデルとその応用 (Symposium on Queueing: Stochastic Models and Their Applications; 2009, 2010, 2011, 2012, 2015).
Member of Senior Program Committee or Area Chair
The International Conference on Machine Learning (ICML 2020, 2023)
International Conference on Learning Representations (ICLR 2021, 2022)
Neural Information Processing Systems (NeurIPS 2022)
International Joint Conference on Artificial Intelligence (IJCAI 2018-2024)
Asian Conference on Machine Learning (ACML 2018-2022)
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2023)
Member of Program Committee or Reviewers
SIGMETRICS/Performance 2022, 2023
AAAI Conference on Artificial Intelligence (AAAI 2016-2020, 2023)
International Joint Conference on Artificial Intelligence (IJCAI-15)
Neural Information Processing Systems (NIPS 2014-2015, 2017-2020)
The International Conference on Machine Learning (ICML 2012-2014, 2017-2019)
International Conference on Learning Representations (ICLR 2018-2019)
Annual Conference on Robot Learning (CoRL 2017)
The International Conference on Matrix Analytic Methods in Stochastic Models (MAM7 (2011), MAM8 (2013), MAM9 (2015))
AAAI-22 Workshop on AI for Decision Optimization
Member of editorial board
ISS誌(Communications of the Information and Systems Society of the Institute of Electronics, Information and Communication Engineers); member (April 2017 - March 2019)
Past activities
(Member of Reinvigoration Committee) Operations Research Society of Japan, November 2012 - May 2014
(Member of Editorial Board) Communications of the Operations Research Society of Japan, May 2009 - April 2013.
(Member of Editorial Board) Simulation Modelling Practice and Theory, March 2008 - February 2011.
(Member of Editorial Board) International Journal of Information and Decision Sciences, February 2008 - January 2010.
(Member of Editorial Board) International Journal of Information Systems in the Service Sector, August 2007 - July 2009.
(Technical Program Committee) The 41st Annual IEEE/IFIP International Conference on Dependable Systems and Networks -- Performance and Dependability Symposium (PDS) track (DSN-PDS 2011,2016).
(Technical Program Committee) The International Conference on Quantitative Evaluation of Systems (QEST 2007,2009,2011).
(Technical Program Committee) The 7th International Conference on Queueing Theory and Network Applications (QTNA 2012)
(Technical Program Committee) The 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2011).
(Technical Program Committee) The 3rd Workshop on Hot Topics in Measurement and Modeling of Computer Systems (HotMetrics 2010).
(Technical Program Committee) The International Conference on Computer Communications and Networks (ICCCN 2009,2010).
(Shadow Program Committee) ACM SIGMETRICS 2010.
Honors / Grants
Highlighted Area Chair, ICLR 2022 https://iclr.cc/Conferences/2022/ProgramCommittee
NeurIPS 2018 Pommerman Competition, 3rd place, 2018
Gottfried Wagener Award (at a speech contest in IBM Research - Tokyo), Dec. 2016
IBIS 2015 ベストプレゼンテーション賞 (Best presentation award), Dec. 2015.
待ち行列研究部会論文賞 (Best paper of the year from Special Interest Group on Queues of Operations Research Society of Japan), Sep. 2015.
Morimoto award (an award for one of the best ideas presented at TRL Ig Novel Prize Contest from the director of IBM Research - Tokyo, Norishige Morimoto), Nov. 2014.
Ohara award (an award for one of the best poster presentations at TRL Cognitive Festival from Dr. Moriyoshi Ohara), Nov. 2014.
Asakawa award (an award for achieving the highest score in a game, CapCap, from Dr. Chieko Asakawa), Sep. 2013.
日本オペレーションズ・リサーチ学会文献賞奨励賞 (an award for an outstanding paper written by a young reseacher from Operations Research Society of Japan), Mar. 2010.
Graduate fellowship from Carnegie Mellon University, Aug. 2001 - Jun. 2005.
Full corporate sponsorship for graduate study abroad from IBM Japan, Jul. 2001 - Jun. 2005.
Student travel grant from the ACM SIGMETRICS, Jun. 2004.
Student travel grant from the IEEE ICDCS, May 2003.
Admission to graduate school of University of Tokyo, exempt from entrance exam due to distinguished undergraduate record (declined), 1998.
Scholarship from Japan Scholarship Foundation, Apr. 1997 - Mar. 1998.