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Takayuki Osa
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2020 – today
- 2024
- [c19]Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada:
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. AAAI 2024: 14474-14481 - [i15]Takayuki Osa, Tatsuya Harada:
Robustifying a Policy in Multi-Agent RL with Diverse Cooperative Behaviors and Adversarial Style Sampling for Assistive Tasks. CoRR abs/2403.00344 (2024) - [i14]Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada:
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning. CoRR abs/2403.07704 (2024) - [i13]Johannes Ackermann, Takayuki Osa, Masashi Sugiyama:
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity. CoRR abs/2405.14114 (2024) - [i12]Motoki Omura, Takayuki Osa, Yusuke Mukuta, Tatsuya Harada:
Stabilizing Extreme Q-learning by Maclaurin Expansion. CoRR abs/2406.04896 (2024) - [i11]Takayuki Osa, Tatsuya Harada:
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning. CoRR abs/2406.05993 (2024) - 2023
- [j13]Takayuki Osa, Naoto Osajima, Masanori Aizawa, Tatsuya Harada:
Learning Adaptive Policies for Autonomous Excavation Under Various Soil Conditions by Adversarial Domain Sampling. IEEE Robotics Autom. Lett. 8(9): 5536-5543 (2023) - [j12]Takayuki Osa, Akinobu Hayashi, Pranav Deo, Naoki Morihira, Takahide Yoshiike:
Offline Reinforcement Learning with Mixture of Deterministic Policies. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Yuhei Yoshimitsu, Takayuki Osa, Shuhei Ikemoto:
Forward/Inverse Kinematics Modeling for Tensegrity Manipulator Based on Goal-Conditioned Variational Autoencoder. IROS 2023: 6668-6673 - 2022
- [j11]Takayuki Osa, Masanori Aizawa:
Deep Reinforcement Learning With Adversarial Training for Automated Excavation Using Depth Images. IEEE Access 10: 4523-4535 (2022) - [j10]Takayuki Osa:
Motion planning by learning the solution manifold in trajectory optimization. Int. J. Robotics Res. 41(3): 281-311 (2022) - [j9]Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Discovering diverse solutions in deep reinforcement learning by maximizing state-action-based mutual information. Neural Networks 152: 90-104 (2022) - 2021
- [c17]Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka:
Meta-Model-Based Meta-Policy Optimization. ACML 2021: 129-144 - [i10]Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Discovering Diverse Solutions in Deep Reinforcement Learning. CoRR abs/2103.07084 (2021) - [i9]Takayuki Osa:
Motion Planning by Learning the Solution Manifold in Trajectory Optimization. CoRR abs/2107.05842 (2021) - 2020
- [j8]Takayuki Osa:
Multimodal trajectory optimization for motion planning. Int. J. Robotics Res. 39(8) (2020) - [j7]Hiroyuki Karasawa, Tomohiro Kanemaki, Kei Oomae, Rui Fukui, Masayuki Nakao, Takayuki Osa:
Hierarchical Stochastic Optimization With Application to Parameter Tuning for Electronically Controlled Transmissions. IEEE Robotics Autom. Lett. 5(2): 628-635 (2020) - [j6]Takayuki Osa, Shuehi Ikemoto:
Goal-Conditioned Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes. SN Comput. Sci. 1(5): 303 (2020) - [i8]Takayuki Osa:
Multimodal Trajectory Optimization for Motion Planning. CoRR abs/2003.07054 (2020) - [i7]Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka:
Meta-Model-Based Meta-Policy Optimization. CoRR abs/2006.02608 (2020) - [i6]Takayuki Osa:
Learning the Solution Manifold in Optimization and Its Application in Motion Planning. CoRR abs/2007.12397 (2020)
2010 – 2019
- 2019
- [c16]Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization. ICLR (Poster) 2019 - [i5]Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama:
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization. CoRR abs/1901.01365 (2019) - [i4]Johannes Ackermann, Volker Gabler, Takayuki Osa, Masashi Sugiyama:
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics. CoRR abs/1910.01465 (2019) - [i3]Takayuki Osa, Shuhei Ikemoto:
Variational Autoencoder Trajectory Primitives with Continuous and Discrete Latent Codes. CoRR abs/1912.04063 (2019) - 2018
- [j5]Takayuki Osa, Jan Peters, Gerhard Neumann:
Hierarchical reinforcement learning of multiple grasping strategies with human instructions. Adv. Robotics 32(18): 955-968 (2018) - [j4]Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters:
An Algorithmic Perspective on Imitation Learning. Found. Trends Robotics 7(1-2): 1-179 (2018) - [j3]Takayuki Osa, Naohiko Sugita, Mamoru Mitsuishi:
Online Trajectory Planning and Force Control for Automation of Surgical Tasks. IEEE Trans Autom. Sci. Eng. 15(2): 675-691 (2018) - [c15]Takayuki Osa, Masashi Sugiyama:
Hierarchical Policy Search via Return-Weighted Density Estimation. AAAI 2018: 3860-3867 - [c14]Robert Pinsler, Riad Akrour, Takayuki Osa, Jan Peters, Gerhard Neumann:
Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences. ICRA 2018: 596-601 - [i2]Takayuki Osa, Joni Pajarinen, Gerhard Neumann, J. Andrew Bagnell, Pieter Abbeel, Jan Peters:
An Algorithmic Perspective on Imitation Learning. CoRR abs/1811.06711 (2018) - 2017
- [j2]Takayuki Osa, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin, Rudolf Lioutikov, Jan Peters, Gerhard Neumann:
Guiding Trajectory Optimization by Demonstrated Distributions. IEEE Robotics Autom. Lett. 2(2): 819-826 (2017) - [c13]Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters:
Active Incremental Learning of Robot Movement Primitives. CoRL 2017: 37-46 - [c12]Firas Abi-Farraj, Takayuki Osa, Nicolo Pedemonte, Jan Peters, Gerhard Neumann, Paolo Robuffo Giordano:
A learning-based shared control architecture for interactive task execution. ICRA 2017: 329-335 - [i1]Takayuki Osa, Masashi Sugiyama:
Hierarchical Policy Search via Return-Weighted Density Estimation. CoRR abs/1711.10173 (2017) - 2016
- [c11]Takayuki Osa, Jan Peters, Gerhard Neumann:
Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies. ISER 2016: 160-172 - 2014
- [c10]Takayuki Osa, Christian Farid Abawi, Naohiko Sugita, Hirotaka Chikuda, Shurei Sugita, Hideya Ito, Toru Moro, Yoshio Takatori, Sakae Tanaka, Mamoru Mitsuishi:
Autonomous penetration detection for bone cutting tool using demonstration-based learning. ICRA 2014: 290-296 - [c9]Takayuki Osa, Kanako Harada, Naohiko Sugita, Mamoru Mitsuishi:
Trajectory planning under different initial conditions for surgical task automation by learning from demonstration. ICRA 2014: 6507-6513 - [c8]Takayuki Osa, Satoshi Uchida, Naohiko Sugita, Mamoru Mitsuishi:
Hybrid control of master-slave velocity control and admittance control for safe remote surgery. IROS 2014: 1328-1334 - [c7]Takayuki Osa, Naohiko Sugita, Mamoru Mitsuishi:
Online Trajectory Planning in Dynamic Environments for Surgical Task Automation. Robotics: Science and Systems 2014 - 2013
- [c6]Takayuki Osa, Takuto Haniu, Kanako Harada, Naohiko Sugita, Mamoru Mitsuishi:
Perforation risk detector using demonstration-based learning for teleoperated robotic surgery. IROS 2013: 2572-2577 - 2010
- [c5]Christoph Staub, Alois C. Knoll, Takayuki Osa, Robert Bauernschmitt:
Autonomous High Precision Positioning of Surgical Instruments in Robot-Assisted Minimally Invasive Surgery under Visual Guidance. ICAS 2010: 64-69 - [c4]Christoph Staub, Takayuki Osa, Alois C. Knoll, Robert Bauernschmitt:
Automation of tissue piercing using circular needles and vision guidance for computer aided laparoscopic surgery. ICRA 2010: 4585-4590 - [c3]Kazushi Onda, Takayuki Osa, Naohiko Sugita, Makoto Hashizume, Mamoru Mitsuishi:
Asynchronous force and visual feedback in teleoperative laparoscopic surgical system. IROS 2010: 844-849 - [c2]Takayuki Osa, Christoph Staub, Alois C. Knoll:
Framework of automatic robot surgery system using Visual servoing. IROS 2010: 1837-1842
2000 – 2009
- 2009
- [j1]Naohiko Sugita, Taiga Nakano, Takayuki Osa, Yoshikazu Nakajima, Kazuo Fujiwara, Nobuhiro Abe, Toshifumi Ozaki, Masahiko Suzuki, Mamoru Mitsuishi:
Cutting Tool Protects for Soft Tissues in Bone-Milling Machining. Int. J. Autom. Technol. 3(2): 185-192 (2009) - 2008
- [c1]Naohiko Sugita, Takayuki Osa, Yoshikazu Nakajima, Mamoru Mitsuishi:
Deformation analysis and active compensation of surgical milling robot based on system error evaluation. ICRA 2008: 3389-3394
Coauthor Index
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