Receding horizon cache and extreme learning machine based reinforcement learning

• Main Authors: Shao, Zhifei, Er, Meng Joo, Huang, Guang-Bin
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: https://hdl.handle.net/10356/97140; http://hdl.handle.net/10220/11704

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...