METHOD AND SYSTEM FOR OPTIMIZING REINFORCEMENT-LEARNING-BASED AUTONOMOUS DRIVING ACCORDING TO USER PREFERENCES

METHOD AND SYSTEM FOR OPTIMIZING REINFORCEMENT-LEARNING-BASED AUTONOMOUS DRIVING ACCORDING TO USER PREFERENCES

A method and a system for optimizing reinforcement-learning-based autonomous driving according to user preferences are disclosed. A method for optimizing autonomous driving comprises the steps of: applying different autonomous driving parameters to a plurality of robot agents in a simulation through...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: KIM, Minsu, PARK, Kay, HAN, Jaehun, DANCE, Christopher, CHOI, Jinyoung, SEO, Joonho, KIM, Jung-eun
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
CHAMBERS PROVIDED WITH MANIPULATION DEVICES
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROLLING
COUNTING
HAND TOOLS
MANIPULATORS
PERFORMING OPERATIONS
PHYSICS
PORTABLE POWER-DRIVEN TOOLS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TRANSPORTING
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:A method and a system for optimizing reinforcement-learning-based autonomous driving according to user preferences are disclosed. A method for optimizing autonomous driving comprises the steps of: applying different autonomous driving parameters to a plurality of robot agents in a simulation through an automatic setting by means of the system or a direct setting by means of a manager, so that the robot agents learn robot autonomous driving; and optimizing the autonomous driving parameters by using preference data for the autonomous driving parameters.