Bálint Kövári

According to our database, Bálint Kövári authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Strategic data navigation: information value-based sample selection.

Csanád L. Balogh, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi

Artif. Intell. Rev., July, 2024

Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach.

Bálint Kövári, István Gellért Knáb, Domokos Esztergár-Kiss, Szilárd Aradi, Tamás Bécsi

IEEE Access, 2024

Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies.

Bálint Pelenczei, István Gellért Knáb, Bálint Kövári, Tamás Bécsi, László Palkovics

Proceedings of the 21st International Conference on Informatics in Control, 2024

Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment.

István Gellért Knáb, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi, László Palkovics

Proceedings of the 21st International Conference on Informatics in Control, 2024

2023

Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach.

Bálint Kövári, Bálint Pelenczei, Tamás Bécsi

IEEE Access, 2023

Multi-Agent Reinforcement Learning for railway rescheduling.

Bálint Kövári, Csanád L. Balogh, Szilárd Aradi

Proceedings of the 17th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2023

2022

Reward Design for Intelligent Intersection Control to Reduce Emission.

Bálint Kövári, Bálint Pelenczei, Szilárd Aradi, Tamás Bécsi

IEEE Access, 2022

Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control.

Bálint Kövári, Máté Kolat, Tamás Bécsi, Szilárd Aradi

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control.

Máté Kolat, Bálint Kövári, Tamás Bécsi, Szilárd Aradi

Proceedings of the 20th Jubilee International Symposium on Intelligent Systems and Informatics, 2022

Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning.

Bálint Kövári, Bálint Pelenczei, Tamás Bécsi

Proceedings of the 16th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2022

2020

Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator.

Tamás Bécsi, Ádám Szabó, Bálint Kövári, Szilárd Aradi, Péter Gáspár

IEEE Access, 2020

Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search.

Bálint Kövári, Tamás Bécsi, Ádám Szabó, Szilárd Aradi

Proceedings of the 6th International Conference on Mechatronics and Robotics Engineering, 2020