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Bálint Kövári
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2020 – today
- 2024
- [j5]Bálint Kövári
, István Gellért Knáb
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) - [c7]István Gellért Knáb, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi, László Palkovics:
Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment. ICINCO (2) 2024: 15-25 - [c6]Bálint Pelenczei, István Gellért Knáb, Bálint Kövári, Tamás Bécsi, László Palkovics:
Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies. ICINCO (2) 2024: 117-124 - 2023
- [j3]Bálint Kövári
Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. IEEE Access 11: 138488-138501 (2023) - [c5]Bálint Kövári, Csanád L. Balogh
Multi-Agent Reinforcement Learning for railway rescheduling. SACI 2023: 375-380 - 2022
- [j2]Bálint Kövári
Reward Design for Intelligent Intersection Control to Reduce Emission. IEEE Access 10: 39691-39699 (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
- [j1]Tamás Bécsi
Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. IEEE Access 8: 147295-147312 (2020) - [c1]Bálint Kövári, Tamás Bécsi
Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. ICMRE 2020: 177-182
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last updated on 2024-12-13 19:15 CET by the dblp team
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