Random Actions vs Random Policies: Bootstrapping Model-Based Direct Policy Search. (arXiv:2210.11801v1 [cs.LG])

This paper studies the impact of the initial data gathering method on the
subsequent learning of a dynamics model. Dynamics models approximate the true
transition function of a given task, in order to perform policy search directly
on the model rather than on the costly real system. This study aims to
determine how to bootstrap a model as efficiently as possible, by comparing
initialization methods employed in two different policy search frameworks in
the literature. The study focuses on the …

arxiv bootstrapping policy random search