Study on Composite Architecture of Imitation Learning and Reinforcement Learning

Abstract

This paper presents a composite machine learning architecture of imitation learning and reinforcement learning. Reinforcement learning usually requires many trials and errors in an agent's learning phase. However, people can reduce the amount of time by imitating other people's way of performing the task. Therefore the composition of reinforcement learning and imitation learning is proposed as an integrated machine learning architecture.