프레임워크는 자율 주행을 위한 안내된 정책 탐색에 기초하여 비전 및 샘플-효율적 강화-학습을 조합한다. 컨트롤러는 비전으로부터 환경 정보를 추출하고 강화 학습을 사용하여 주행하도록 트레이닝된다.
A framework combines vision and sample-efficient reinforcement-learning based on guided policy search for autonomous driving. A controller extracts environmental information from vision and is trained to drive using reinforcement learning.
- - VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING
자율 주행을 위한 비전-기반 샘플-효율적 강화 학습 프레임워크
2021-10-27
Patent
Electronic Resource
Korean
IPC: | G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING
European Patent Office | 2019
|- - VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING
European Patent Office | 2019
|Autonomous Driving with Deep Reinforcement Learning
SLUB | 2023
|Robustness of reinforcement learning based autonomous driving technologies
TIBKAT | 2024
|