Online learning in L2 space with multiple Gaussian kernels. - Motoya Ohnishi; Masahiro Yukawa (EUSIPCO, 2017)

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. - Motoya Ohnishi; Masahiro Yukawa; Mikael Johansson; Masashi Sugiyama (NeurIPS, 2018)

Safety-aware Adaptive Reinforcement Learning with Applications to Brushbot Navigation. - Motoya Ohnishi; Li Wang 050; Gennaro Notomista; Magnus Egerstedt (CoRR, 2018)

Online Nonlinear Estimation via Iterative L2-Space Projections: Reproducing Kernel of Subspace. - Motoya Ohnishi; Masahiro Yukawa (IEEE Trans. Signal Process., 2018)

Barrier-Certified Adaptive Reinforcement Learning With Applications to Brushbot Navigation. - Motoya Ohnishi; Li Wang 050; Gennaro Notomista; Magnus Egerstedt (IEEE Trans. Robotics, 2019)

Information Theoretic Regret Bounds for Online Nonlinear Control. - Sham M. Kakade; Akshay Krishnamurthy; Kendall Lowrey; Motoya Ohnishi; Wen Sun 002 (NeurIPS, 2020)

Constraint learning for control tasks with limited duration barrier functions. - Motoya Ohnishi; Gennaro Notomista; Masashi Sugiyama; Magnus Egerstedt (Autom., 2021)

Koopman Spectrum Nonlinear Regulator and Provably Efficient Online Learning. - Motoya Ohnishi; Isao Ishikawa; Kendall Lowrey; Masahiro Ikeda; Sham M. Kakade; Yoshinobu Kawahara (CoRR, 2021)

Dynamic Structure Estimation from Bandit Feedback. - Motoya Ohnishi; Isao Ishikawa; Yuko Kuroki; Masahiro Ikeda (CoRR, 2022)

Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following. - Motoya Ohnishi; Iretiayo Akinola; Jie Xu 028; Ajay Mandlekar; Fabio Ramos 001 (L4DC, 2024)

Dynamic Structure Estimation from Bandit Feedback using Nonvanishing Exponential Sums. - Motoya Ohnishi; Isao Ishikawa; Yuko Kuroki; Masahiro Ikeda (Trans. Mach. Learn. Res., 2024)

Koopman Spectrum Nonlinear Regulators and Efficient Online Learning. - Motoya Ohnishi; Isao Ishikawa; Kendall Lowrey; Masahiro Ikeda; Sham M. Kakade; Yoshinobu Kawahara (Trans. Mach. Learn. Res., 2024)

Integration of Control and Dynamical Systems Perspectives to Machine Learning - Motoya Ohnishi (2024)