Követés
Bálint Kővári
Cím
Hivatkozott rá
Hivatkozott rá
Év
Design of a reinforcement learning-based lane keeping planning agent for automated vehicles
B Kővári, F Hegedüs, T Bécsi
Applied Sciences 10 (20), 7171, 2020
332020
Deep reinforcement learning based approach for traffic signal control
K Bálint, T Tamás, B Tamás
Transportation Research Procedia 62, 278-285, 2022
122022
Traffic signal control via reinforcement learning for reducing global vehicle emission
B Kővári, L Szőke, T Bécsi, S Aradi, P Gáspár
Sustainability 13 (20), 11254, 2021
122021
Reinforcement learning based control design for a floating piston pneumatic gearbox actuator
T Bécsi, Á Szabó, B Kővári, S Aradi, P Gáspár
IEEE Access 8, 147295-147312, 2020
102020
Multi-agent reinforcement learning for traffic signal control: A cooperative approach
M Kolat, B Kővári, T Bécsi, S Aradi
Sustainability 15 (4), 3479, 2023
92023
Reward design for intelligent intersection control to reduce emission
B Kővári, B Pelenczei, S Aradi, T Bécsi
IEEE Access 10, 39691-39699, 2022
82022
Mcts based approach for solving real-time railway rescheduling problem
IF Lövétei, B Kővári, T Bécsi
Periodica Polytechnica Transportation Engineering 49 (3), 283-291, 2021
62021
Policy gradient based control of a pneumatic actuator enhanced with monte carlo tree search
B Kovari, T Becsi, A Szabo, S Aradi
2020 6th international conference on mechatronics and robotics engineering …, 2020
52020
Environment representations of railway infrastructure for reinforcement learning-based traffic control
I Lövétei, B Kővári, T Bécsi, S Aradi
Applied Sciences 12 (9), 4465, 2022
32022
Multi-Agent Deep Reinforcement Learning (MADRL) for Solving Real-Time Railway Rescheduling Problem
B Kővári, I Lövétei, S Aradi, T Bécsi
12022
Deep Reinforcement Learning combined with RRT for trajectory tracking of autonomous vehicles.
K Balint, AB Gergo, B Tamas
Transportation Research Procedia 78, 246-253, 2024
2024
Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach
B Kővári, B Pelenczei, T Bécsi
IEEE Access, 2023
2023
Multi-Agent Reinforcement Learning for railway rescheduling
B Kővári, CL Balogh, S Aradi
2023 IEEE 17th International Symposium on Applied Computational Intelligence …, 2023
2023
Multi-Agent Reinforcement Learning for Traffic Signal Control: A Cooperative Approach. Sustainability 2023, 15, 3479
M Kolat, B Kovári, T Bécsi, S Aradi
2023
Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control
M Kolat, B Kővári, T Bécsi, S Aradi
2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and …, 2022
2022
Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control
B Kóvári, M Kolat, T Bécsi, S Aradi
2022 IEEE 20th Jubilee International Symposium on Intelligent Systems and …, 2022
2022
Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning
B Kövári, B Pelenczei, T Bécsi
2022 IEEE 16th International Symposium on Applied Computational Intelligence …, 2022
2022
Városi buszok útvonaltervezése Hangyakolónia módszer segítségével
D Adonisz, H István, K Bálint
2021
Area Scanning with Reinforcement Learning and MCTS in Smart City Applications
H Sándor, K Bálint, K Máté, G Tamás, V Dániel, R József, B György
Repüléstudományi Közlemények 32 (2), 137–153-137–153, 2020
2020
Megerősítéses tanulás és MCTS alkalmazása trajektóriakövetésben
K Bálint, B Tamás, S Zsolt
2019
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Cikkek 1–20