A survey of inverse reinforcement learning techniques

• Main Authors: Shao, Zhifei, Er, Meng Joo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/101589; http://hdl.handle.net/10220/16774
• Institution: Nanyang Technological University

This purpose of this paper is to provide an overview of the theoretical background and applications of inverse reinforcement learning (IRL). Reinforcement learning (RL) techniques provide a powerful solution for sequential decision making problems under uncertainty. RL uses an agent equipped with a...