Hüseyin Aydın

E-mail

ahuseyin@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-5746-9702

Scopus Author ID

57193534882

Web of Science Researcher ID

ABA-3838-2020

Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning Bal, Melis İlayda; Aydın, Hüseyin; İyigün, Cem; Polat, Faruk (2024-08-01) Reinforcement Learning (RL) algorithms encounter slow learning in environments with sparse explicit reward structures due to the limited feedback available on the agent's behavior. This problem is exacerbated particularly ...
Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces Bal, Melis Ilayda; İyigün, Cem; Polat, Faruk; Aydın, Hüseyin (2024-01-01) Efficient exploration plays a key role in accelerating the learning performance and sample efficiency of reinforcement learning tasks. In this paper we propose a framework that serves as a population-based repulsive reward...
Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states Aydın, Hüseyin; Çilden, Erkin; Polat, Faruk (2022-08-01) Reinforcement learning is known to underperform in large and ambiguous problem domains under partial observability. In such cases, a proper decomposition of the task can improve and accelerate the learning process. Even am...
Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm Aydın, Hüseyin; 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 ...
Self-management of patients with severe arthritis through a Personal Health System: The Turkish case study in the PALANTE project Aydın, Hüseyin; Gençtürk, Mert; Alpay, Erdem; L. Ertürkmen, Gökçe B.; Doğaç, Asuman (2015-01-01)

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