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Bálint Kövári
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Journal Articles
- 2024
- [j5]Bálint Kövári, István Gellért Knáb, Domokos Esztergár-Kiss, Szilárd Aradi, Tamás Bécsi:
Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach. IEEE Access 12: 104463-104472 (2024) - [j4]Csanád L. Balogh, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi:
Strategic data navigation: information value-based sample selection. Artif. Intell. Rev. 57(7): 187 (2024) - 2023
- [j3]Bálint Kövári
, Bálint Pelenczei
, Tamás Bécsi
:
Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. IEEE Access 11: 138488-138501 (2023) - 2022
- [j2]Bálint Kövári
, Bálint Pelenczei
, Szilárd Aradi
, Tamás Bécsi
:
Reward Design for Intelligent Intersection Control to Reduce Emission. IEEE Access 10: 39691-39699 (2022) - 2020
- [j1]Tamás Bécsi
, Ádám Szabó
, Bálint Kövári
, Szilárd Aradi
, Péter Gáspár
:
Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. IEEE Access 8: 147295-147312 (2020)
Conference and Workshop Papers
- 2023
- [c5]Bálint Kövári, Csanád L. Balogh, Szilárd Aradi:
Multi-Agent Reinforcement Learning for railway rescheduling. SACI 2023: 375-380 - 2022
- [c4]Bálint Kövári, Bálint Pelenczei, Tamás Bécsi:
Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning. SACI 2022: 123-128 - [c3]Máté Kolat, Bálint Kövári, Tamás Bécsi, Szilárd Aradi:
Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control. SISY 2022: 343-348 - [c2]Bálint Kövári, Máté Kolat, Tamás Bécsi, Szilárd Aradi:
Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. SISY 2022: 361-366 - 2020
- [c1]Bálint Kövári, Tamás Bécsi
, Ádám Szabó, Szilárd Aradi
:
Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. ICMRE 2020: 177-182
Coauthor Index
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last updated on 2024-08-13 21:52 CEST by the dblp team
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