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UCHIBE Eiji  内部 英治

ORCIDConnect your ORCID iD *help
Researcher Number 20426571
Other IDs
Affiliation (Current) 2025: 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主幹研究員
Affiliation (based on the past Project Information) *help 2015 – 2024: 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主幹研究員
2014: 沖縄科学技術大学院大学, 神経計算ユニット, グループリーダー
2013: 沖縄科学技術大学院大学, 神経計算ユニット, 研究員
2012: 沖縄科学技術大学院大学, その他の研究科, 研究員
Review Section/Research Field
Principal Investigator
Complex systems / Basic Section 61050:Intelligent robotics-related / Intelligent robotics / Perception information processing/Intelligent robotics
Keywords
Principal Investigator
強化学習 / 逆強化学習 / モデルベース / モデルフリー / 非同期制御 / 並列学習 / 機械学習 / 重点サンプリング / 深層学習 / EMアルゴリズム … More / 密度比推定法 / 線形可解マルコフ決定過程 / 非同期分散 / 深層強化学習 / 非同期分散アーキテクチャ / 実時間制御 / マルチタイムスケール / マルチモジュール / 非同期分散型 / モデル学習 / 模倣学習 / 人工知能 / KL制御 / 知能ロボティックス / マルチエージェント強化学習 / 進化的計算 / 進化計算 / スマートフォンロボット / ロボット学習 / 部分観測環境 / KLダイバージェンス / 密度比推定 / 報酬関数 / 最適制御 Less
  • Research Projects

    (7 results)
  • Research Products

    (83 results)
  • Co-Researchers

    (1 People)
  •  Development of Asynchronous Distributed Multi-module Deep Reinforcement Learning Focusing on Different Control PeriodsPrincipal Investigator

    • Principal Investigator
      内部 英治
    • Project Period (FY)
      2021 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61050:Intelligent robotics-related
    • Research Institution
      Advanced Telecommunications Research Institute International
  •  Deep Parallel Reinforcement Learning with Model-Free and Model-Based MethodsPrincipal Investigator

    • Principal Investigator
      内部 英治
    • Project Period (FY)
      2019 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      Advanced Telecommunications Research Institute International
  •  Parallel deep reinforcement learningPrincipal Investigator

    • Principal Investigator
      内部 英治
    • Project Period (FY)
      2017 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      Advanced Telecommunications Research Institute International
  •  Integration of Kullback-Leibler control and intrinsic rewards for reinforcement learningPrincipal Investigator

    • Principal Investigator
      UCHIBE Eiji
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Challenging Exploratory Research
    • Research Field
      Intelligent robotics
    • Research Institution
      Advanced Telecommunications Research Institute International
  •  部分観測環境下におけるモデルベース・モデルフリー強化学習の役割分担Principal Investigator

    • Principal Investigator
      内部 英治
    • Project Period (FY)
      2014 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      Advanced Telecommunications Research Institute International
      Okinawa Institute of Science and Technology Graduate University
  •  モデルベース予測状態フィードバックを組み込んだ強化学習Principal Investigator

    • Principal Investigator
      内部 英治
    • Project Period (FY)
      2012 – 2013
    • Research Category
      Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
    • Review Section
      Complex systems
    • Research Institution
      Okinawa Institute of Science and Technology Graduate University
  •  Information theoretic optimization of intrinsic rewards for reinforcement learningPrincipal Investigator

    • Principal Investigator
      UCHIBE Eiji
    • Project Period (FY)
      2012 – 2014
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Perception information processing/Intelligent robotics
    • Research Institution
      Okinawa Institute of Science and Technology Graduate University

All 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 Other

All Journal Article Presentation Patent

  • [Journal Article] Modular deep reinforcement learning from reward and punishment for robot navigation2021

    • Author(s)
      Jiexin Wang, Stefan Elfwing, and Eiji Uchibe
    • Journal Title

      Neural Networks

      Volume: 135 Pages: 115-126

    • DOI

      10.1016/j.neunet.2020.12.001

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Journal Article] Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning2019

    • Author(s)
      Shota Ohnishi, Eiji Uchibe, Yotaro Yamaguchi, Kosuke Nakanishi, Yuji Yasui, and Shin Ishii
    • Journal Title

      Frontiers in Neurorobotics

      Volume: 13

    • DOI

      10.3389/fnbot.2019.00103

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PUBLICLY-19H05001, KAKENHI-PLANNED-17H06310, KAKENHI-PROJECT-19H04180
  • [Journal Article] Cooperative and Competitive Reinforcement and Imitation Learning for a Mixture of Heterogeneous Learning Modules2018

    • Author(s)
      Eiji Uchibe
    • Journal Title

      Frontiers in Neurorobotics

      Volume: 12

    • DOI

      10.3389/fnbot.2018.00061

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042, KAKENHI-PROJECT-16K12504
  • [Journal Article] Model-Free Deep Inverse Reinforcement Learning by Logistic Regression2018

    • Author(s)
      Eiji Uchibe
    • Journal Title

      Neural Processing Letters

      Volume: 47 Issue: 3 Pages: 891-905

    • DOI

      10.1007/s11063-017-9702-7

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Journal Article] Robustness of linearly solvable Markov games employing inaccurate dynamics model2018

    • Author(s)
      Ken Kinjo, Eiji Uchibe, and Kenji Doya
    • Journal Title

      Artificial Life and Robotics

      Volume: 23 Issue: 1 Pages: 1-9

    • DOI

      10.1007/s10015-017-0401-2

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K12504, KAKENHI-PUBLICLY-17H06042
  • [Journal Article] Sigmoid-weighted linear units for neural network function approximation in reinforcement learning2018

    • Author(s)
      Elfwing S, Uchibe E, Doya K
    • Journal Title

      Neural Networks

      Volume: 2017 Specail issue Pages: 30297-6

    • DOI

      10.1016/j.neunet.2017.12.012

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H06563, KAKENHI-PUBLICLY-17H06042
  • [Journal Article] Deterministic Policy Search Method for Real Robot Control2017

    • Author(s)
      内部 英治, 王 潔心
    • Journal Title

      The Brain & Neural Networks

      Volume: 24 Issue: 4 Pages: 195-203

    • DOI

      10.3902/jnns.24.195

    • NAID

      130006337689

    • ISSN
      1340-766X, 1883-0455
    • Language
      Japanese
    • Data Source
      KAKENHI-PROJECT-16K12504, KAKENHI-PUBLICLY-17H06042
  • [Journal Article] Adaptive Baseline Enhances EM-based Policy Search: Validation in a View-based Positioning Task of a Smartphone Balancer2017

    • Author(s)
      Jiexin Wang, Eiji Uchibe, Kenji Doya
    • Journal Title

      Frontiers in Neurorobotics

      Volume: 11 Pages: 1-15

    • DOI

      10.3389/fnbot.2017.00001

    • NAID

      120005980916

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-16H06563, KAKENHI-PROJECT-16K12504
  • [Journal Article] Forward and Inverse Reinforcement Learning Based on Linearly Solvable Markov Decision Processes2016

    • Author(s)
      内部英治
    • Journal Title

      The Brain & Neural Networks

      Volume: 23 Issue: 1 Pages: 2-13

    • DOI

      10.3902/jnns.23.2

    • NAID

      130005150459

    • ISSN
      1340-766X, 1883-0455
    • Language
      Japanese
    • Acknowledgement Compliant
    • Data Source
      KAKENHI-PLANNED-23120007, KAKENHI-PUBLICLY-26120727
  • [Journal Article] EM-based policy hyper parameter exploration: application to standing and balancing of a two-wheeled smartphone robot2016

    • Author(s)
      Wang J, Uchibe E, Doya K
    • Journal Title

      Artificial Life and Robotics

      Volume: 21 Issue: 1 Pages: 125-131

    • DOI

      10.1007/s10015-015-0260-7

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PLANNED-23120007, KAKENHI-PUBLICLY-26120727
  • [Journal Article] Expected energy-based restricted Boltzmann machine for classification2014

    • Author(s)
      Elfwing S.,Uchibe E., Doya K.
    • Journal Title

      Neural Networks

      Volume: 64 Pages: 29-38

    • DOI

      10.1016/j.neunet.2014.09.006

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-ORGANIZER-23120001, KAKENHI-PLANNED-23120007, KAKENHI-PUBLICLY-26120727
  • [Journal Article] Evaluation of linearly solvable Markov decision process with dynamic model learning in a mobile robot navigation task2013

    • Author(s)
      Kinjo K, Uchibe E, Doya K
    • Journal Title

      Frontiers in Neurorobotics

      Volume: 7 Pages: 7-7

    • DOI

      10.3389/fnbot.2013.00007

    • Peer Reviewed
    • Data Source
      KAKENHI-PLANNED-23120007, KAKENHI-PUBLICLY-24120527
  • [Patent] Direct Inverse Reinforcement Learning with Density Ratio Estimation2016

    • Inventor(s)
      Eiji Uchibe and Kenji Doya
    • Industrial Property Rights Holder
      OIST
    • Industrial Property Rights Type
      特許
    • Filing Date
      2016-03-15
    • Overseas
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Patent] Inverse Reinforcement Learning by Density Ratio Estimation2015

    • Inventor(s)
      Eiji Uchibe and Kenji Doya
    • Industrial Property Rights Holder
      OIST
    • Industrial Property Rights Type
      特許
    • Filing Date
      2015-08-07
    • Overseas
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Patent] Estimating goals using inverse reinforcement learning based on density ratio estimation2014

    • Inventor(s)
      E. Uchibe and K. Doya
    • Industrial Property Rights Holder
      E. Uchibe and K. Doya
    • Industrial Property Rights Type
      特許
    • Filing Date
      2014-07-31
    • Overseas
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Patent] Estimating goals using inverse reinforcement learning based on density ratio estimation2014

    • Inventor(s)
      E. Uchibe and K. Doya
    • Industrial Property Rights Holder
      E. Uchibe and K. Doya
    • Industrial Property Rights Type
      特許
    • Filing Date
      2014-07-31
    • Overseas
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] 方策とモデルのエントロピ正則を導入したオフラインモデルベース模倣学習2023

    • Author(s)
      内部英治
    • Organizer
      第37回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] 方策の積による報酬と罰からの並列強化学習2023

    • Author(s)
      内部英治
    • Organizer
      第33回 日本神経回路学会全国大会
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] 偏りのあるエキスパートデータから学習する生成模倣学習の多重化2023

    • Author(s)
      内部英治
    • Organizer
      第41回日本ロボット学会学術講演会
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] Asynchronous competition and cooperation between model-based and model-free reinforcement learning systems2022

    • Author(s)
      Eiji Uchibe
    • Organizer
      Neuro 2022シンポジウム「適応的・予測的行動制御を支える並列的・階層的神経メカニズム」
    • Invited
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] モデルベース・モデルフリー強化学習の調停について2022

    • Author(s)
      内部英治
    • Organizer
      第36回人工知能学会全国大会
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] 決定論的方策を学習するためのモデルベース強化学習2022

    • Author(s)
      内部英治
    • Organizer
      ロボティクス・メカトロニクス講演会予稿集
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] 多目的強化学習のための経験再生バッファの分離2022

    • Author(s)
      内部英治
    • Organizer
      第40回日本ロボット学会学術講演会予稿集
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] モデルフリーとモデルベース強化学習のための非同期並列学習2021

    • Author(s)
      内部英治
    • Organizer
      第35回人工知能学会全国大会
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] 深層並列強化学習2021

    • Author(s)
      内部英治
    • Organizer
      第15回Motor Control研究会
    • Data Source
      KAKENHI-PROJECT-23K21710
  • [Presentation] Parallel deep reinforcement learning with model-free and model-based methods2020

    • Author(s)
      Eiji Uchibe
    • Organizer
      International Symposium on Artificial Intelligence and Brain Science
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] モデルフリーとモデルベースの協同による並列深層強化学習2020

    • Author(s)
      内部英治
    • Organizer
      第34回人工知能学会全国大会
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] Latent brain dynamics estimation and deep generative imitation learning2020

    • Author(s)
      Eiji Uchibe
    • Organizer
      31st U.S.-Japan Technology Forum
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] Parallel reward and punishment learning under entropy regularization2019

    • Author(s)
      Eiji Uchibe
    • Organizer
      第29回日本神経回路学会全国大会
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] 階層強化学習の進展2019

    • Author(s)
      内部英治
    • Organizer
      第13回Motor Control研究会
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning2019

    • Author(s)
      Tadashi Kozuno, Eiji Uchibe, and Kenji Doya
    • Organizer
      The 22nd International Conference on Artificial Intelligence and Statistics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Imitation learning under entropy regularization2019

    • Author(s)
      Eiji Uchibe
    • Organizer
      Workshop on Reinforcement Learning & Biological Intelligence
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] 強化学習と逆強化学習を組み合わせた模倣学習2019

    • Author(s)
      内部英治
    • Organizer
      第25回ステアラボ人工知能セミナー
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-19H05001
  • [Presentation] Imitation learning under entropy regularization2019

    • Author(s)
      Eiji Uchibe
    • Organizer
      Workshop on Reinforcement Learning & Biological Intelligence
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] Online Meta-Learning by Parallel Algorithm Competition2018

    • Author(s)
      Stefan Elfwing, Eiji Uchibe, and Kenji Doya
    • Organizer
      Genetic and Evolutionary Computation Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] EM-based policy search for learning foraging and mating behaviors2018

    • Author(s)
      Jiexin Wang and Eiji Uchibe
    • Organizer
      ロボティクス・メカトロニクス講演会
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] Cooperative and competitive reinforcement and imitation learning2018

    • Author(s)
      Eiji Uchibe
    • Organizer
      The 8th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Forward and inverse reinforcement learning and generative adversarial formulation2018

    • Author(s)
      Eiji Uchibe
    • Organizer
      NC/IBISML/IPSJ-MPS/IPSJ-BIO合同研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] Cooperative and competitive reinforcement and imitation learning2018

    • Author(s)
      Eiji Uchibe
    • Organizer
      The 8th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] 方策探査法のための多重重点サンプリングを用いた経験再利用2018

    • Author(s)
      内部英治
    • Organizer
      ロボティクス・メカトロニクス講演会
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] 方策探査法のための多重重点サンプリングを用いた経験再利用2018

    • Author(s)
      内部英治
    • Organizer
      ロボティクス・メカトロニクス講演会
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] Efficient sample reuse in policy search by multiple importance sampling2018

    • Author(s)
      Eiji Uchibe
    • Organizer
      Genetic and Evolutionary Computation Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] EM-based policy search for learning foraging and mating behaviors2018

    • Author(s)
      Jiexin Wang and Eiji Uchibe
    • Organizer
      ロボティクス・メカトロニクス講演会
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Deep reinforcement learning by parallelizing reward and punishment using MaxPain architecture2018

    • Author(s)
      Jiexin Wang, Stefan Elfwing, and Eiji Uchibe
    • Organizer
      The 8th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Forward and inverse reinforcement learning and generative adversarial formulation2018

    • Author(s)
      Eiji Uchibe
    • Organizer
      NC/IBISML/IPSJ-MPS/IPSJ-BIO合同研究会
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Efficient Sample Reuse in Policy Search by Multiple Importance Sampling2018

    • Author(s)
      Eiji Uchibe
    • Organizer
      Genetic and Evolutionary Computation Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Deep reinforcement learning by parallelizing reward and punishment using MaxPain architecture2018

    • Author(s)
      Jiexin Wang, Stefan Elfwing, and Eiji Uchibe
    • Organizer
      The 8th Joint IEEE International Conference on Development and Learning and Epigenetic Robotics
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] ディープNNによる順・逆強化学習2017

    • Author(s)
      内部英治
    • Organizer
      第27回日本神経回路学会全国大会
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] Deep inverse reinforcement learning2017

    • Author(s)
      E. Uchibe
    • Organizer
      The Third International Workshop on Intrinsically Motivated Open-ended learning
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-17H06042
  • [Presentation] From Neuroscience to Artificial Intelligence: Maximizing Average Reward in Episodic Reinforcement Learning Tasks with an Ensemble of Q-Learners2016

    • Author(s)
      Chris Reinke, Eiji Uchibe, and Kenji Doya
    • Organizer
      Third CiNet Conference, Neural mechanisms of decision making: Achievements and new directions
    • Place of Presentation
      Osaka, Japan
    • Year and Date
      2016-02-03
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Learning of Stress Adaptive Habits with an Ensemble of Q-Learners2016

    • Author(s)
      Chris Reinke, Eiji Uchibe, and Kenji Doya
    • Organizer
      The 2nd International Workshop on Cognitive Neuroscience Robotics
    • Place of Presentation
      Osaka, Japan
    • Year and Date
      2016-02-21
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Emergence of communication among reinforcement learning agents under coordination environment2016

    • Author(s)
      Qiong Huang, Eiji Uchibe, and Kenji Doya
    • Organizer
      6th Joint IEEE International Conference on Developmental Learning and Epigenetic Robotics
    • Place of Presentation
      Cergy-Pontoise / Paris
    • Year and Date
      2016-09-19
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K12504
  • [Presentation] Inverse reinforcement learning for behavior analysis and control2015

    • Author(s)
      Eiji Uchibe, and Kenji Doya
    • Organizer
      International Symposium on Prediction and Decision Making 2015
    • Place of Presentation
      Tokyo, Japan
    • Year and Date
      2015-10-31
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Forward and inverse reinforcement learning for playing games2015

    • Author(s)
      Eiji Uchibe, and Kenji Doya
    • Organizer
      新学術領域研究「予測と意思決定の脳内計算機構の解明による人間理解と応用」第10回領域会議、2015年度包括脳冬のワークショップ
    • Place of Presentation
      Tokyo, Japan
    • Year and Date
      2015-12-17
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Inverse Reinforcement Learning with Density Ratio Estimation2015

    • Author(s)
      Eiji Uchibe, and Kenji Doya
    • Organizer
      The 2nd Multidisciplinary Conference on Reinforcement Learning and Decision Making
    • Place of Presentation
      The University of Alberta
    • Year and Date
      2015-06-07
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Maximizing the average reward in episodic reinforcement learning tasks2015

    • Author(s)
      Chris Reinke, Eiji Uchibe, and Kenji Doya
    • Organizer
      IEEE International Conference on Intelligent Informatics and Biomedical Sciences
    • Place of Presentation
      Okinawa, Japan
    • Year and Date
      2015-11-28
    • Int'l Joint Research
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Robustness of Linearly Solvable Markov Games with Inaccurate Dynamics Models2014

    • Author(s)
      K. Kinjo, E. Uchibe, and K. Doya
    • Organizer
      Proc. of International Symposium on Artificial Life and Robotics
    • Place of Presentation
      Beppu, Japan
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Combining learned controllers to achieve new goals based on linearly solvable MDPs2014

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      Proc. of IEEE International Conference on Robotics and Automation
    • Place of Presentation
      Hong Kong
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Robustness of Linearly Solvable Markov Games with Inaccurate Dynamics Models2014

    • Author(s)
      K. Kinjo, E. Uchibe, and K. Doya
    • Organizer
      Proc. of International Symposium on Artificial Life and Robotics
    • Place of Presentation
      Beppu, Japan
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Combining learned controllers to achieve new goals based on linearly solvable MDPs2013

    • Author(s)
      E. Uchibe, and K. Doya
    • Organizer
      Neuro 2013
    • Place of Presentation
      Kyoto International Conference Center
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Analysis of human behaviors by inverse reinforcement learning in a pole balancing task2013

    • Author(s)
      S. Ota, E. Uchibe, and K. Doya
    • Organizer
      The 3rd International Symposium on The Biology of Decision Making
    • Place of Presentation
      Paris, France
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Combining learned controllers to achieve new goals based on linearly solvable MDPs2013

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      Neuro 2013
    • Place of Presentation
      Kyoto International Conference Center
    • Invited
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Inverse reinforcement learning for understanding human behaviors2013

    • Author(s)
      E. Uchibe
    • Organizer
      International Symposium on Past and Future Directions of Cognitive Developmental Robotics
    • Place of Presentation
      Osaka University Nakanoshima Center
    • Invited
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Inverse reinforcement learning for understanding human behaviors2013

    • Author(s)
      E. Uchibe
    • Organizer
      International Symposium on Past and Future Directions of Cognitive Developmental Robotics
    • Place of Presentation
      Osaka University Nakanoshima Center 10F
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Inverse reinforcement learning for analysis of human behaviors2013

    • Author(s)
      E. Uchibe, S. Ota, and K. Doya
    • Organizer
      The 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making
    • Place of Presentation
      Princeton University
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Analysis of human behaviors by inverse reinforcement learning in a pole balancing task2013

    • Author(s)
      S. Ota, E. Uchibe, and K. Doya
    • Organizer
      The 3rd International Symposium on The Biology of Decision Making
    • Place of Presentation
      Paris, France
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces2013

    • Author(s)
      E. Uchibe, S. Elfwing, and K. Doya
    • Organizer
      Neuro 2013
    • Place of Presentation
      Kyoto International Conference Center
    • Invited
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Inverse reinforcement learning for analysis of human behaviors2013

    • Author(s)
      E. Uchibe, S. Ota, and K. Doya
    • Organizer
      The 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making
    • Place of Presentation
      Princeton University, New Jersey, USA
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Inverse reinforcement learning by density ratio estimation2013

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      第16回情報論的学習理論ワークショップIBIS2013
    • Place of Presentation
      東京工業大学蔵前会館
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Standing-up and Balancing Behaviors of Android Phone Robot -- Control of Spring Attached Wheeled Inverted Pendulum --2013

    • Author(s)
      J. Wang, E. Uchibe, and K. Doya
    • Organizer
      IEICE Technical Committee on Nonlinear Problems (NLP)
    • Place of Presentation
      City University of Hong Kong
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] Scaled free-energy based reinforcement learning for robust and efficient learning in high-dimensional state spaces2013

    • Author(s)
      E. Uchibe, S. Elfwing, and K. Doya
    • Organizer
      Neuro 2013
    • Place of Presentation
      Kyoto International Conference Center
    • Invited
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Standing-up and Balancing Behaviors of Android Phone Robot -- Control of Spring Attached Wheeled Inverted Pendulum --2013

    • Author(s)
      J. Wang, E. Uchibe, and K. Doya
    • Organizer
      IEICE Technical Committee on Nonlinear Problems (NLP)
    • Place of Presentation
      City University of Hong Kong
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Inverse reinforcement learning by density ratio estimation2013

    • Author(s)
      E. Uchibe, and K. Doya
    • Organizer
      第16回情報論的学習理論ワークショップIBIS2013
    • Place of Presentation
      東京工業大学蔵前会館
    • Data Source
      KAKENHI-PUBLICLY-24120527
  • [Presentation] 密度比推定を用いた逆強化学習

    • Author(s)
      内部英治,銅谷賢治
    • Organizer
      第32回日本ロボット学会学術講演会
    • Place of Presentation
      九州産業大学
    • Year and Date
      2014-09-04 – 2014-09-06
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Two-wheeled smartphone robot learns to stand up and balance by EM-based policy hyper parameter exploration

    • Author(s)
      J. Wang, E. Uchibe, and K. Doya
    • Organizer
      20th International Symposium on Artificial Life and Robotics
    • Place of Presentation
      Beppu
    • Year and Date
      2015-01-21 – 2015-01-23
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Control of Two-Wheeled Balancing and Standing-up Behaviors by an Android Phone Robot

    • Author(s)
      J. Wang, E. Uchibe, and K. Doya.
    • Organizer
      第32回日本ロボット学会学術講演会
    • Place of Presentation
      九州産業大学
    • Year and Date
      2014-09-04 – 2014-09-06
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Inverse Reinforcement Learning Using Dynamic Policy Programming

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics
    • Place of Presentation
      Genoa
    • Year and Date
      2014-10-13 – 2014-10-16
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Inverse Reinforcement Learning Using Dynamic Policy Programming

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      Proc. of the 4th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics
    • Place of Presentation
      Genoa
    • Year and Date
      2014-10-13 – 2014-10-16
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Control of Two-Wheeled Balancing and Standing-up Behaviors by an Android Phone Robot

    • Author(s)
      J. Wang, E. Uchibe, and K. Doya
    • Organizer
      第32回日本ロボット学会学術講演会
    • Place of Presentation
      九州産業大学
    • Year and Date
      2014-09-04 – 2014-09-06
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Two-wheeled smartphone robot learns to stand up and balance by EM-based policy hyper parameter exploration

    • Author(s)
      J. Wang, E. Uchibe, and K. Doya
    • Organizer
      International Symposium on Artificial Life and Robotics
    • Place of Presentation
      Beppu
    • Year and Date
      2015-01-21 – 2015-01-23
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] Combining learned controllers to achieve new goals based on linearly solvable MDPs

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      Proc. of IEEE International Conference on Robotics and Automation
    • Place of Presentation
      Hong Kong
    • Year and Date
      2014-05-31 – 2014-06-07
    • Data Source
      KAKENHI-PROJECT-24500249
  • [Presentation] 密度比推定を用いた逆強化学習

    • Author(s)
      内部英治、銅谷健司
    • Organizer
      第32回日本ロボット学会学術講演会
    • Place of Presentation
      九州産業大学
    • Year and Date
      2014-09-04 – 2014-09-06
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • [Presentation] Combining learned controllers to achieve new goals based on linearly solvable MDPs

    • Author(s)
      E. Uchibe and K. Doya
    • Organizer
      IEEE International Conference on Robotics and Automation
    • Place of Presentation
      Hong Kong
    • Year and Date
      2014-05-31 – 2014-06-07
    • Data Source
      KAKENHI-PUBLICLY-26120727
  • 1.  DOYA Kenji
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    # of Collaborated Products: 5 results

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