Motoya Ohnishi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Reproducing Kernel

Function Approximation

Reproducing Kernel Hilbert Space

Online Learning

Top Venues

IEEE Trans. Robotics

Publications

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)
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following. L4DC (2024)
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following. CoRR (2023)
Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda
Dynamic Structure Estimation from Bandit Feedback. CoRR (2022)
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. CoRR (2021)
Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt
Constraint learning for control tasks with limited duration barrier functions. Autom. 127 (2021)
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
Information Theoretic Regret Bounds for Online Nonlinear Control. NeurIPS (2020)
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
Information Theoretic Regret Bounds for Online Nonlinear Control. CoRR (2020)
Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt
Constraint Learning for Control Tasks with Limited Duration Barrier Functions. CoRR (2019)
Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt
Barrier-Certified Adaptive Reinforcement Learning With Applications to Brushbot Navigation. IEEE Trans. Robotics 35 (5) (2019)
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. CoRR (2018)
Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt
Safety-aware Adaptive Reinforcement Learning with Applications to Brushbot Navigation. CoRR (2018)
Motoya Ohnishi, Masahiro Yukawa
-Space Projections: Reproducing Kernel of Subspace. IEEE Trans. Signal Process. 66 (15) (2018)
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. NeurIPS (2018)
Motoya Ohnishi, Masahiro Yukawa
space with multiple Gaussian kernels. EUSIPCO (2017)