A comparative study between motivated learning and reinforcement learning
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.
