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ORCIDMotoya Ohnishi
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2020 – today
- 2024
[b1]Motoya Ohnishi:
Integration of Control and Dynamical Systems Perspectives to Machine Learning. University of Washington, USA, 2024- [j4]Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara:
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos:
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following. L4DC 2024: 466-479 - 2023
- [i7]Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos:
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following. CoRR abs/2312.05547 (2023) - 2022
- [i6]Motoya Ohnishi, Isao Ishikawa
, Yuko Kuroki, Masahiro Ikeda:
Dynamic Structure Estimation from Bandit Feedback. CoRR abs/2206.00861 (2022) - 2021
- [j3]Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt:
Constraint learning for control tasks with limited duration barrier functions. Autom. 127: 109504 (2021) - [i5]Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara:
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. CoRR abs/2106.15775 (2021) - 2020
- [c3]Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun:
Information Theoretic Regret Bounds for Online Nonlinear Control. NeurIPS 2020 - [i4]Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun:
Information Theoretic Regret Bounds for Online Nonlinear Control. CoRR abs/2006.12466 (2020)
2010 – 2019
- 2019
- [j2]Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt:
Barrier-Certified Adaptive Reinforcement Learning With Applications to Brushbot Navigation. IEEE Trans. Robotics 35(5): 1186-1205 (2019) - [i3]Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt:
Constraint Learning for Control Tasks with Limited Duration Barrier Functions. CoRR abs/1908.09506 (2019) - 2018
- [j1]Motoya Ohnishi, Masahiro Yukawa:
Online Nonlinear Estimation via Iterative L2-Space Projections: Reproducing Kernel of Subspace. IEEE Trans. Signal Process. 66(15): 4050-4064 (2018) - [c2]Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama:
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. NeurIPS 2018: 2818-2829 - [i2]Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt:
Safety-aware Adaptive Reinforcement Learning with Applications to Brushbot Navigation. CoRR abs/1801.09627 (2018) - [i1]Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama:
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. CoRR abs/1806.02985 (2018) - 2017
- [c1]Motoya Ohnishi, Masahiro Yukawa:
Online learning in L2 space with multiple Gaussian kernels. EUSIPCO 2017: 1594-1598
Coauthor Index
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