Search Results for author:
Found 2 papers, 0 papers with code
Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning
This paper studies convergence rates for some value function approximations that arise in a collection of reproducing kernel Hilbert spaces (RKHS) $H(\Omega)$.
Strictly Decentralized Adaptive Estimation of External Fields using Reproducing Kernels
Approximations of the evolution of the ideal local estimate $\hat{g}^i_t$ of agent $i$ is constructed solely using observations made by agent $i$ on a fine time scale.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
