Uchibe Eiji

ウチベエイジ | Uchibe Eiji

Affiliation and department：
Job title：主幹研究員
Homepage URL (2)： https://bicr.atr.jp/bri/ , http://www.cns.atr.jp/bri/en/

Research field (3)： Intelligent informatics , Intelligent robotics , Perceptual information processing

Research keywords (2)： Robotics , Reinforcement Learning

Research theme for competitive and other funds (12)：

2021 - 2025 Development of Asynchronous Distributed Multi-module Deep Reinforcement Learning Focusing on Different Control Periods
2020 - 2025 サイボーグ AI に関する研究開発
2020 - 2022 Neurofeedback psychotherapy: new methods for learning and regulating latent brain dynamics
2021 - 製造業に革新をもたらすスマートロボット技術の開発
2019 - 2021 Deep Parallel Reinforcement Learning with Model-Free and Model-Based Methods

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Papers (94)：

Hamed Jabbari Asl, Eiji Uchibe. Online estimation of objective function for continuous-time deterministic systems. Neural Networks. 2024. 172. 106116-106116
Hamed Jabbari Asl, Eiji Uchibe. Online Reinforcement Learning Control of Nonlinear Dynamic Systems: A State-action Value Function Based Solution. Neurocomputing. 2023. 544. 126291-126291
Hamed Jabbari Asl, Eiji Uchibe. Reinforcement learning-based optimal control of unknown constrained-input nonlinear systems using simulated experience. Nonlinear Dynamics. 2023
Hamed Jabbari Asl, Eiji Uchibe. Online Data-Driven Inverse Reinforcement Learning for Deterministic Systems. 2022 IEEE Symposium Series on Computational Intelligence (SSCI). 2022
Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara. Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. IEEE Robotics and Automation Letters. 2022. 7. 4. 8964-8971

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MISC (39)：

Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto. Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. 2024
Jiexin Wang, Eiji Uchibe. Reward-Punishment Reinforcement Learning with Maximum Entropy. 2024
内部英治. 人と生成的模倣学習の共進化による人間参加型ロボット学習システム. ロボティクス・メカトロニクス講演会予稿集. 2023
内部英治. 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. 第37回人工知能学会全国大会. 2023
内部英治. 多目的強化学習のための経験再生バッファの分離. 第40回日本ロボット学会学術講演会. 2022

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Patents (4)：

Lectures and oral presentations (20)：

Human-in-the-loop Policy Learning by Co-Evolution of Human and Generative Imitation Learning
(ICRA 2024 Workshop on Human-aligned Reinforcement Learning for Autonomous Agents and Robots 2024)
強化学習のこれまでとこれから
(大阪公立大学産官学共同研究会第138回テクノラボツアー 2023)
Asynchronous competition and cooperation between model-based and model-free reinforcement learning systems
(2022)
並列深層強化学習
(第15回Motor Control研究会 2021)
深層強化学習入門
(IBIS2020チュートリアル 2020)

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Professional career (1)：

Work history (8)：

2015/10 - 現在 Advanced Telecommunications Research Institute International Computational Neuroscience Laboratories, Department of Brain Robot Interface Principal Researcher
2008/10 - 2015/09 Okinawa Institute of Science and Technology, Graduate University Neural Computation Unit Group Leader
2005/10 - 2008/09 Okinawa Institute of Science and Technology, Initial Research Project Neural Computation Unit Group Leader
2004/04 - 2005/09 Okinawa Institute of Science and Technology, Initial Research Project Neural Computation Unit Group Leader
2003/05 - 2004/03 Advanced Telecommunications Research Institute International Dept. of Computational Neurobiology, Computational Neuroscience Labs. Researcher

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Awards (5)：

2021 - 人工知能学会全国大会優秀賞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
2019 - 人工知能学会全国大会優秀賞エントロピ正則された強化学習を用いた模倣学習
2007 - Best paper awards in Proc. of ICONIP
2004 - Best philosophical paper awards in Proc. of International Conference on Simulation of Adaptive Behavior
1997 - 人工知能学会人工知能学会研究会優秀賞

Association Membership(s) (3)：

JAPANESE NEURAL NETWORK SOCIETY , THE ROBOTICS SOCIETY OF JAPAN , 人工知能学会

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