Hüseyin Aydın

E-mail
ahuseyin@metu.edu.tr
Department
Department of Computer Engineering
Scopus Author ID
Web of Science Researcher ID
Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm
Aydın, Hüseyin; Cilden, Erkin; Polat, Faruk (2017-11-08)
Instance-based methods are proven tools to solve reinforcement learning problems with hidden states. Nearest Sequence Memory (NSM) is a widely known instance-based approach mainly based on k-Nearest Neighbor algorithm. It ...
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