Reinforcement learning using expectation maximization based guided policy search for stochastic dynamics

Guided policy search algorithms have been proven to work with incredible accuracy not only for controlling complicated dynamical systems, but also in learning optimal policies from exploration of various unseen instances. This paper deals with a trajectory optimization problem for an unknown dynamic...

Full description

Saved in:
Bibliographic Details
Published inNeurocomputing (Amsterdam) Vol. 484; pp. 79 - 88
Main Authors Mallick, Prakash, Chen, Zhiyiong, Zamani, Mohsen
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2022
Subjects
Online AccessGet full text

Cover

Loading…