VISION-BASED SAMPLE-EFFICIENT REINFORCEMENT LEARNING FRAMEWORK FOR AUTONOMOUS DRIVING

• Main Authors: Chiang, Su-Hui, Liu, Ming-Chang
• Format: Patent
• Language: English; French; German
• Published: 06.11.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS

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.