Receding horizon cache and extreme learning machine based reinforcement learning

• Main Authors: Shao, Zhifei, Er, Meng Joo, Huang, Guang-Bin
• 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/10356/97140; http://hdl.handle.net/10220/11704
• Institution: Nanyang Technological University

Function approximators have been extensively used in Reinforcement Learning (RL) to deal with large or continuous space problems. However, batch learning Neural Networks (NN), one of the most common approximators, has been rarely applied to RL. In this paper, possible reasons for this are laid out a...