68 citations · 206 across the 14 of their papers we have counts for
3 papers · 1 filter
Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to River State Estimation
Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda +4
This work proposes convolutional-sparse-coded dynamic mode decomposition (CSC-DMD) by unifying extended dynamic mode decomposition (EDMD) and convolutional sparse coding. EDMD is a…
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson +1
Motivated by the success of reinforcement learning (RL) for discrete-time tasks such as AlphaGo and Atari games, there has been a recent surge of interest in using RL for continuou…
Distributed Adaptive Learning with Multiple Kernels in Diffusion Networks
Ban-Sok Shin, Masahiro Yukawa, Renato Luis Garrido Cavalcante +1
We propose an adaptive scheme for distributed learning of nonlinear functions by a network of nodes. The proposed algorithm consists of a local adaptation stage utilizing multiple…