27 citations · 31 across the 6 of their papers we have counts for
6 papers
Reservoir Predictive Path Integral Control for Unknown Nonlinear Dynamics
Daisuke Inoue, Tadayoshi Matsumori, Gouhei Tanaka +1
Neural networks have found extensive application in data-driven control of nonlinear dynamical systems, yet fast online identification and control of unknown dynamics remain centra…
An Uncertainty-aware, Mesh-free Numerical Method for Kolmogorov PDEs
Daisuke Inoue, Yuji Ito, Takahito Kashiwabara +2
This study introduces an uncertainty-aware, mesh-free numerical method for solving Kolmogorov PDEs. In the proposed method, we use Gaussian process regression (GPR) to smoothly int…
Convergence Analysis of the Upwind Difference Methods for Hamilton-Jacobi-Bellman Equations
Daisuke Inoue, Yuji Ito, Takahito Kashiwabara +2
This paper investigates the convergence properties of the upwind difference scheme for the Hamilton--Jacobi--Bellman (HJB) equation, a central partial differential equation in opti…
A fictitious-play finite-difference method for linearly solvable mean field games
Daisuke Inoue, Yuji Ito, Takahito Kashiwabara +2
An iterative finite difference scheme for mean field games (MFGs) is proposed. The target MFGs are derived from control problems for multidimensional systems with advection terms.…
Optimal Transport-based Coverage Control for Swarm Robot Systems: Generalization of the Voronoi Tessellation-based Method
Daisuke Inoue, Yuji Ito, Hiroaki Yoshida
Swarm robot systems, which consist of many cooperating mobile robots, have attracted attention for their environmental adaptability and fault tolerance advantages. One of the most…
Model Predictive Mean Field Games for Controlling Multi-Agent Systems
Daisuke Inoue, Yuji Ito, Takahito Kashiwabara +2
When controlling multi-agent systems, the trade-off between performance and scalability is a major challenge. Here, we address this difficulty by using mean field games (MFGs), whi…