Motoya Ohnishi

17 papers A* 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums.
Trans. Mach. Learn. Res.
Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda
2024 — —
Integration of Control and Dynamical Systems Perspectives to Machine Learning
Motoya Ohnishi
2024 J jnl
Koopman Spectrum Nonlinear Regulators and Efficient Online Learning.
Trans. Mach. Learn. Res.
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
2024 — conf
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following.
L4DC
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
2023 J jnl
Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following.
CoRR
Motoya Ohnishi, Iretiayo Akinola, Jie Xu, Ajay Mandlekar, Fabio Ramos
2022 J jnl
Dynamic Structure Estimation from Bandit Feedback.
CoRR
Motoya Ohnishi, Isao Ishikawa, Yuko Kuroki, Masahiro Ikeda
2021 J jnl
Constraint learning for control tasks with limited duration barrier functions.
Autom.
Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt
2021 J jnl
Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning.
CoRR
Motoya Ohnishi, Isao Ishikawa, Kendall Lowrey, Masahiro Ikeda, Sham M. Kakade, Yoshinobu Kawahara
2020 A* conf
Information Theoretic Regret Bounds for Online Nonlinear Control.
NeurIPS
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
2020 J jnl
Information Theoretic Regret Bounds for Online Nonlinear Control.
CoRR
Sham M. Kakade, Akshay Krishnamurthy, Kendall Lowrey, Motoya Ohnishi, Wen Sun
2019 J jnl
Barrier-Certified Adaptive Reinforcement Learning With Applications to Brushbot Navigation.
IEEE Trans. Robotics
Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt
2019 J jnl
Constraint Learning for Control Tasks with Limited Duration Barrier Functions.
CoRR
Motoya Ohnishi, Gennaro Notomista, Masashi Sugiyama, Magnus Egerstedt
2018 A* conf
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces.
NeurIPS
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama
2018 J jnl
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces.
CoRR
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama
2018 J jnl
Online Nonlinear Estimation via Iterative L
IEEE Trans. Signal Process.
Motoya Ohnishi, Masahiro Yukawa
2018 J jnl
Safety-aware Adaptive Reinforcement Learning with Applications to Brushbot Navigation.
CoRR
Motoya Ohnishi, Li Wang, Gennaro Notomista, Magnus Egerstedt
2017 — conf
Online learning in L
EUSIPCO
Motoya Ohnishi, Masahiro Yukawa