Yrd. Doç. Dr. HÜSEYİN AYDIN

Yayın Ağı

Makaleler 3

1. 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 , cilt.157, ss.469-484, 2024 (SCI-Expanded, Scopus)

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

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

Annals of Operations Research , cilt.335, sa.2, ss.689-725, 2024 (SCI-Expanded, Scopus)

3. 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 , cilt.133, ss.153-168, 2022 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 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, Amerika Birleşik Devletleri, 19 - 23 Mayıs 2025, ss.695-703, (Tam Metin Bildiri)

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, İsveç, 10 - 14 Haziran 2024, cilt.386, ss.55-63, (Tam Metin Bildiri)

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, İtalya, 28 - 31 Ekim 2019, ss.425-433, (Tam Metin Bildiri)

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, Amerika Birleşik Devletleri, 6 - 08 Kasım 2017, ss.147-152, (Tam Metin Bildiri)

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, Birleşik Krallık, 29 - 30 Ekim 2014, ss.1-7, (Tam Metin Bildiri)

Metrikler

Yrd. Doç. Dr. HÜSEYİN AYDIN

Yayınlar & Eserler

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

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

3. 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

Yayın

Yayın (WoS)

Yayın (Scopus)

Atıf (WoS)

H-İndeks (WoS)

Atıf (Scopus)

H-İndeks (Scopus)

Atıf (Scholar)

H-İndeks (Scholar)

Proje

Açık Erişim