Items where Author is "Kővári, Bálint"

Article

Kővári, Bálint and Knáb, István Gellért and Esztergár-Kiss, Domokos and Aradi, Szilárd and Bécsi, Tamás (2024) Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach. IEEE ACCESS, 12. pp. 104463-104472. ISSN 2169-3536

Kővári, Bálint and Pelenczei, Bálint and Knáb, István Gellért and Bécsi, Tamás (2024) Beyond Trial and Error: Lane Keeping with Monte Carlo Tree Search-Driven Optimization of Reinforcement Learning. ELECTRONICS (SWITZ), 13 (11). ISSN 2079-9292

Balogh, Csanád Levente and Pelenczei, Bálint and Kővári, Bálint and Bécsi, Tamás (2024) Strategic data navigation : information value-based sample selection. ARTIFICIAL INTELLIGENCE REVIEW, 57 (7). No. 187. ISSN 0269-2821

Kolat, Máté and Kővári, Bálint and Bécsi, Tamás and Aradi, Szilárd (2023) Multi-Agent Reinforcement Learning for Traffic Signal Control: A Cooperative Approach. SUSTAINABILITY, 15 (4). No-3479. ISSN 2071-1050

Kővári, Bálint and Pelenczei, Bálint and Bécsi, Tamás (2023) Enhanced Experience Prioritization : A Novel Upper Confidence Bound Approach. IEEE ACCESS, 11. pp. 138488-138501. ISSN 2169-3536

Lövétei, István and Kővári, Bálint and Bécsi, Tamás and Aradi, Szilárd (2022) Environment Representations of Railway Infrastructure for Reinforcement Learning-Based Traffic Control. APPLIED SCIENCES, 12 (9). p. 4465. ISSN 2076-3417

Kővári, Bálint and Kolat, Máté and Haraszti, Sándor and Gyenis, Tamás and Vörös, Dániel and Bicsák, György (2020) Area Scanning with Reinforcement Learning and MCTS in Smart City Applications. REPÜLÉSTUDOMÁNYI KÖZLEMÉNYEK (1997-TŐL), 32 (2). pp. 137-153. ISSN 1417-0604

Conference or Workshop Item

Kővári, Bálint and Balogh, Csanád L. and Aradi, Szilárd (2023) Multi-Agent Reinforcement Learning for Railway Rescheduling. In: 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2023.05.23. - 2023.05.26., Timişoara (Romania).

Kővári, Bálint and Lövétei, István and Aradi, Szilárd and Bécsi, Tamás (2022) Multi-Agent Deep Reinforcement Learning (MADRL) for Solving Real-Time Railway Rescheduling Problem. In: The Fifth International Conference on Railway Technology: Research, Development and Maintenance, Montpellier, France.