OS11-5 Reinforcement Learning as a Theoretical Framework for Education*

Title:	OS11-5 Reinforcement Learning as a Theoretical Framework for Education*
Publication:	ICAROB2018
Volume:	23
Pages:	510-512
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2018.OS11-5
Author(s):	Masayasu Nagamatsu, Yuki Moriguchi
Publication Date:	February 2, 2018
Keywords:	reinforcement learning, reward signal, dopamine, intrinsic motivation, evidence, educational research
Abstract:	Reinforcement Learning as a computational model of human learning, has recenttly become the subject of intensive investigation(Barto,A.G.,2005;Vigortio,C.M.,2010). Recent findings include: neural signature of hierarchical reinfocement learning, and multiple roles of reward signals in the human brain. These findings not only provide further theoretical evidences that complementary for traditional statistical inference in educational research, but also provide framework for model based design of educational processes. Types of evidence for education, and its relation to recent findings of human reinforcement learnings are discussed.
PDF File:	https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS11/OS11-5.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/