Model-free distributed reinforcement learning state estimation of a dynamical system using integral value functions
One of the challenging problems in sensor network systems is to estimate and track the state
of a target point mass with unknown dynamics. Recent improvements in deep learning (DL) …
of a target point mass with unknown dynamics. Recent improvements in deep learning (DL) …
C-Uniform Trajectory Sampling For Fast Motion Planning
We study the problem of sampling robot trajectories and introduce the notion of C-Uniformity.
As opposed to the standard method of uniformly sampling control inputs (which lead to …
As opposed to the standard method of uniformly sampling control inputs (which lead to …
[PDF][PDF] Model-Free Distributed Reinforcement Learning State Estimation of a Dynamical System Using Integral Value Functions
L BELZNER - opus4.kobv.de
One of the challenging problems in sensor network systems is to estimate and track the state
of a target point mass with unknown dynamics. Recent improvements in deep learning (DL) …
of a target point mass with unknown dynamics. Recent improvements in deep learning (DL) …