Asst. Prof. HÜSEYİN AYDIN

Publication Network

Articles 4

1. Analyzing Privacy Dynamics Within Groups Using Gamified Auctions

AYDIN H., Ulusoy O., Liccardi I., Yolum P.

International Journal of Human-Computer Interaction , 2026 (SCI-Expanded, SSCI, Scopus)

2. Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning

Bal M. İ., AYDIN H., İYİGÜN C., POLAT F.

Future Generation Computer Systems , vol.157, pp.469-484, 2024 (SCI-Expanded, Scopus)

3. Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces

Bal M. I., Iyigün C., Polat F., Aydin H.

Annals of Operations Research , vol.335, no.2, pp.689-725, 2024 (SCI-Expanded, Scopus)

4. Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states

Aydin H., Çilden E., Polat F.

Future Generation Computer Systems , vol.133, pp.153-168, 2022 (SCI-Expanded, Scopus)

Papers Presented at Peer-Reviewed Scientific Conferences 5

1. Mitigating Privacy Conflicts with Computational Theory of Mind

Erdogan E., AYDIN H., Dignum F., Verbrugge R., Yolum P.

24th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2025, Michigan, United States Of America, 19 - 23 May 2025, pp.695-703, (Full Text)

2. Assisting Users in Privacy Conflicts with Partially Observable Multi-Agent Reinforcement Learning

Aydln H.

3rd International Conference on Hybrid Human-Artificial Intelligence, HHAI 2024, Hybrid, Malmo, Sweden, 10 - 14 June 2024, vol.386, pp.55-63, (Full Text)

3. Compact Frequency Memory for Reinforcement Learning with Hidden States.

Polat F., Aydin H., Cilden E.

PRIMA 2019: Principles and Practice of Multi-Agent Systems - 22nd International Conference, Taranto, Italy, 28 - 31 October 2019, pp.425-433, (Full Text)

4. Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm

AYDIN H., Cilden E., POLAT F.

IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), Massachusetts, United States Of America, 6 - 08 November 2017, pp.147-152, (Full Text)

5. Self-management of patients with severe arthritis through a Personal Health System: The Turkish case study in the PALANTE project

Aydın H., Gençtürk M., Alpay E., L. Ertürkmen G. B., Doğaç A.

eChallenges Conference, Belfast, United Kingdom, 29 - 30 October 2014, pp.1-7, (Full Text)

Metrics

Asst. Prof. HÜSEYİN AYDIN

Publications & Works

1. Analyzing Privacy Dynamics Within Groups Using Gamified Auctions

2. Potential-based reward shaping using state–space segmentation for efficiency in reinforcement learning

3. Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces

4. Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states

1. Mitigating Privacy Conflicts with Computational Theory of Mind

2. Assisting Users in Privacy Conflicts with Partially Observable Multi-Agent Reinforcement Learning

3. Compact Frequency Memory for Reinforcement Learning with Hidden States.

4. Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm

5. Self-management of patients with severe arthritis through a Personal Health System: The Turkish case study in the PALANTE project

Publication

Publication (WoS)

Publication (Scopus)

Citation (WoS)

H-Index (WoS)

Citation (Scopus)

H-Index (Scopus)

Citation (Scholar)

H-Index (Scholar)

Project

Open Access