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Our Researchers

December 25, 2023

Ryota Higa

Senior Researcher
Master's Degree of Science

Research area

  • Deep Reinforcement Learning
  • Automated Negotiation
  • Multi-Agent System
  • Generative Optimization



  • R. Higa, K. Fujita, T. Takahashi, T. Shimizu, S. Nakadai, Reward-based Negotiating Agent Strategies, the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 (Main Track, Acceptance Rate 19.2%).
  • T. Shimizu, R. Higa, T. Takahashi, K. Fujita, S. Nakadai, Scalable Negotiating Agent Strategy via Multi-issue Policy Network (Student Abstract), the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 (Finalist, Acceptance Rate 12.4%).
  • T Takahashi, R Higa, K Fujita, S Nakadai, VeNAS: Versatile Negotiating Agent Strategy via Deep Reinforcement Learning (Student Abstract), the 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.
  • R. Higa, S. Nakadai, High-level Reward Deep Reinforcement Learning Approach for a Novel Physical-Logical Hybrid Factory Line Robot Vehicle Simulation, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022.
  • H. Inotsume, A. Aggarwal, R. Higa and S. Nakadai, Path Negotiation for Self-interested Multirobot Vehicles in Shared Space, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.


  • R. Higa and K. Asano, "Bond formation effects on the metal-insulator transition in the half-filled kagome Hubbard model," Phys. Rev. B, vol. 93, no. 24, p. 245123, 2016.
  • C. Ooi, K. Low, R. Higa, and T. Ogawa, "Surface polaritons with arbitrary magnetic and dielectric materials: new regimes, effects of negative index, and superconductors," JOSA B, vol. 29, no. 10, pp. 2691–2697, 2012.


  • 比嘉 亮太,加藤 淳也,”動的報酬クラスタリング”, 第33回人工知能学会全国大会予稿集, 2019 (JSAI2019).
  • 加藤淳也,比嘉亮太,"水道事業における試行錯誤可能なダイナミクス学習", 第21回情報論的学習理論ワークショップ(IBIS2018).
  • 比嘉 亮太,"Adaptive Intention Learning", 第21回情報論的学習理論ワークショップ(IBIS2018).
  • 比嘉 亮太 , "作用によって生じる共変量シフトバイアスの補正", 第32回人工知能学会全国大会予稿集, 2018 (JSAI2018).
  • 比嘉 亮太, "Correction of Covariate Shift Bias Produced by Action of Optimization", 第20回情報論的学習理論ワークショップ(IBIS2017).
  • Kenichi Asano and Ryota Higa, "Metal-Insulator Transision in the Half-Filled Kagome Hubbard Model", 8th International Conference on Highly Frustrated Magnetism (HFM2016).
  • 比嘉 亮太,大橋琢磨、浅野健一,"カゴメ格子はババード模型における磁気秩序Ⅱ", 日本物理学会 第70回年次大会, 2015.
  • 比嘉 亮太,大橋琢磨、浅野健一,"カゴメ格子はババード模型における磁気秩序", 日本物理学会 第69回年次大会, 2014.
  • Ryota Higa, Takuma Ohashi and Kenichi Asano, "Magnetic Orders in Half-Filled Hubbard Model on Kagome Lattice", The International Conference on Strongly Correlated Electron Systems (SCES2013)


  • Yuma Iwasaki, Ryohto Sawada, Ryota Higa and Masahiko Ishida, Material Development by Interpretable Machine Learning, Special Issue:“Materials Informatics”, Journal of the Japanese Society for Artificial Intelligence, vol. 34, no. 3, May 2019.


  • 2020 NEC Central Research Laboratory Young Researcher Award, New Researcher Award

Academic society, communicty, etc.

  • The Association for the Advancement of Artificial Intelligence(AAAI)
  • The Japanese Society for Artificial Intelligence(JSAI)

Patents (Issued ones only)

Patent Publications

  • 出願番号:JP2020001759 コンテナ積載計画装置、方法、および、プログラム
  • 出願番号:JP2019003549 運用支援装置、システム、方法及びプログラム
  • 出願番号:JP2018045112 学習装置、学習方法、および学習プログラム
  • 出願番号:JP2018045113 学習装置、学習方法、および学習プログラム
  • 出願番号:JP2018035861 情報処理装置及びシステム、並びに、モデル適応方法及びプログラム
  • 出願番号:JP2018035858 情報処理装置及びシステム、並びに、モデル適応方法及びプログラム
  • 出願番号:特願2018-16907 モデル生成装置、モデル生成方法、及びプログラム
  • 出願番号:JP2018024162 学習装置、情報処理システム、学習方法、および学習プログラム
  • 出願番号:JP2018020185 学習装置、情報処理システム、学習方法、および学習プログラム
  • 出願番号:特願2019-568445 情報処理装置、制御方法、及びプログラム

Academic/professional career summary

March 2012
Master Department of Physics, Graduate School of Science, Osaka University
March 2016
Completed the doctoral program without a doctoral degree of doctoral program Department of Physics, Graduate School of Science, Osaka University
April 2016 - Current
Data Mining Technology Group, Data Science Research Laboratories, NEC Corporation
June 2019 - Current
Specified Concentrated Research Specialist, National Institute of Advanced Industrial Science and Technology(AIST)
August 2020 - March 2022
Visiting Scientist, RIKEN Center for Advanced Intelligence Project(AIP)
October 2023 - March 2023
April 2023 - Current
Expert Investigator, National Institute of Science and Technology(NISTEP)