A review of inverse reinforcement learning theory and recent advances

• Main Authors: Shao, Zhifei, Er, Meng Joo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/96908; http://hdl.handle.net/10220/12003
• Institution: Nanyang Technological University

A major challenge faced by machine learning community is the decision making problems under uncertainty. Reinforcement Learning (RL) techniques provide a powerful solution for it. An agent used by RL interacts with a dynamic environment and finds a policy through a reward function, without using tar...