A comparative study between motivated learning and reinforcement learning

Authors

J. Graham, Ohio University
J. A. Starzyk, Ohio University
Z. Ni, University of Rhode Island
H. He, University of Rhode IslandFollow
T. H. Teng, School of Computer Science and Engineering
A. H. Tan, School of Computer Science and Engineering

Document Type

Conference Proceeding

Date of Original Version

9-28-2015

Abstract

This paper analyzes advanced reinforcement learning techniques and compares some of them to motivated learning. Motivated learning is briefly discussed indicating its relation to reinforcement learning. A black box scenario for comparative analysis of learning efficiency in autonomous agents is developed and described. This is used to analyze selected algorithms. Reported results demonstrate that in the selected category of problems, motivated learning outperformed all reinforcement learning algorithms we compared with.

Publication Title, e.g., Journal

Proceedings of the International Joint Conference on Neural Networks

Volume

2015-September

Citation/Publisher Attribution

Graham, J., J. A. Starzyk, Z. Ni, H. He, T. H. Teng, and A. H. Tan. "A comparative study between motivated learning and reinforcement learning." Proceedings of the International Joint Conference on Neural Networks 2015-September, (2015). doi: 10.1109/IJCNN.2015.7280723.