A review of inverse reinforcement learning theory and recent advances

• المؤلفون الرئيسيون: Shao, Zhifei, Er, Meng Joo
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/96908; http://hdl.handle.net/10220/12003
• المؤسسة: 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...