Abstract
This paper proposes a deterministic policy gradient method for port-Hamiltonian systems using an eligibility trace. The deterministic policy gradient method commonly uses one of two types of algorithms, either the on- or off-policy method. The proposed algorithm employs the off-policy method to perform a probabilistic search. In addition, we introduce an eligibility trace to the method to speed up the learning process. A numerical simulation shows the effectiveness of the proposed method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions of the Society of Instrument and Control Engineers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
