Benutzer: Gast  Login
Titel:

Development of a Reinforcement Learning Inspired Monte Carlo Tree Search Design Optimization Algorithm for Fixed-Wing VTOL UAV Propellers

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Elektronisches Dokument
Autor(en):
Thiele, Moritz; Staudenmaier, Adrian; Madabhushi Venkata, Swapan; Hornung, Mirko
Abstract:
A novel Monte Carlo Tree Search Optimization Algorithm that is trained using a Reinforcement Learning approach is developed for the application to geometric design tasks. It is capable of evaluating design parameters and demonstrates the successful application of reinforcement learning strategies on a physics informed design optimization task. The algorithm is intended to be used for the parametric design of the optimal geometry of a propeller for Fixed-Wing VTOL UAV but is also applied to an ai...     »
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
AIAA Scitech Forum 2020
Ausrichter der Konferenz:
AIAA
Jahr:
2020
 BibTeX