Receding horizon cache and extreme learning machine based reinforcement learning

• المؤلفون الرئيسيون: Shao, Zhifei, Er, Meng Joo, Huang, Guang-Bin
• 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/10356/97140; http://hdl.handle.net/10220/11704
• المؤسسة: 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...