Kegyes Tamás, Süle Zoltán, Abonyi János: Machine learning -based decision support framework for CBRN protection, HELIYON 10: (2) p. e25946. type of document: Journal paper/Article language: English URL
2023
from data base, 2024. II. 10.
Kegyes Tamás, Süle Zoltán, Abonyi János: Az információmenedzsment szerepe az ABV-védelemben, NEMZETBIZTONSÁGI SZEMLE (ONLINE) 11: (1) pp. 62-77. type of document: Journal paper/Article language: Hungarian URL
2022
from data base, 2024. II. 10.
Tamás Kegyes, Zoltán Süle, János Abonyi: Incorporation of heuristic search into Q-learning, In: Pintér, Miklós (szerk.) Short papers of VOCAL 2022 (9th VOCAL Optimization Conference: Advanced Algorithms), Magyar Operációkutatási Társaság (2022) Incorporation of heuristic search into Q-learning type of document: Part of book/Proceedings Paper language: English
2021
from data base, 2024. II. 10.
Kegyes Tamás, Süle Zoltán, Abonyi János: The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications, COMPLEXITY 2021: pp. 1-31. type of document: Journal paper/Review paper number of independent citations: 13 language: English URL
2021
from data base, 2024. II. 10.
Kegyes Tamás, Süle Zoltán, Abonyi János: Szétszerelési láncok optimálisa megerősítéses tanulással, In: Sziklai, R. Balázs (szerk.) XXXIV. Magyar Operációkutatási Konferencia: Absztraktok könyve, Gazdaságmodellezési Társaság (2021) p. 111. type of document: language: Hungarian
Number of independent citations to these publications:
number of scientific publications that meet accreditation criteria:
number of scientific publications:
monographs and professional books:
monographs/books in which chapters/sections were contributed:
number of independent citations to scientific publications and creative works:
The number of citations displayed after clicking on the link may differ from the displayed number because the former displays the current state of MTMT2 and the latter was the case when importing science metrics.