Bálint Kövári

17 papers A 1C 2Misc 4Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Diversity: A Key Component in Homogeneous Multi-Agent Reinforcement Learning. ICCAD István Gellért Knáb, Márk Mitrenga, Bálint Kövári
2025	J	`jnl`	Guided Experience Prioritization for Continuous Reinforcement Learning. IEEE Access István Gellért Knáb, Tamás Bécsi, Bálint Kövári
2025	C	`conf`	Lane-Independent Highway Traffic Management for Random Anomalies Using Reinforcement Learning. CoDIT Márk Mitrenga, György Csippán, Bálint Kövári, Tamás Bécsi, Szilárd Aradi
2025	C	`conf`	Listening to Nature: Automated Bird Species Identification for Biodiversity Monitoring. CoDIT Vencel Bódi, Márk Mitrenga, Bálint Kövári, Szilárd Aradi
2025	J	`jnl`	MCTS-Based Policy Improvement for Reinforcement Learning. Mach. Learn. Knowl. Extr. György Csippán, István Péter, Bálint Kövári, Tamás Bécsi
2024	—	`conf`	Adaptive Highway Traffic Management: A Reinforcement Learning Approach for Variable Speed Limit Control with Random Anomalies. ICINCO (2) Bálint Pelenczei, István Gellért Knáb, Bálint Kövári, Tamás Bécsi, László Palkovics
2024	J	`jnl`	Distributed Highway Control: A Cooperative Reinforcement Learning-Based Approach. IEEE Access Bálint Kövári, István Gellért Knáb, Domokos Esztergár-Kiss, Szilárd Aradi, Tamás Bécsi
2024	—	`conf`	Expanded Applicability: Multi-Agent Reinforcement Learning-Based Traffic Signal Control in a Variable-Sized Environment. ICINCO (2) István Gellért Knáb, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi, László Palkovics
2024	J	`jnl`	Strategic data navigation: information value-based sample selection. Artif. Intell. Rev. Csanád L. Balogh, Bálint Pelenczei, Bálint Kövári, Tamás Bécsi
2023	J	`jnl`	Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. IEEE Access Bálint Kövári, Bálint Pelenczei, Tamás Bécsi
2023	Misc	`conf`	Multi-Agent Reinforcement Learning for railway rescheduling. SACI Bálint Kövári, Csanád L. Balogh, Szilárd Aradi
2022	Misc	`conf`	Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. SISY Bálint Kövári, Máté Kolat, Tamás Bécsi, Szilárd Aradi
2022	Misc	`conf`	Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control. SISY Máté Kolat, Bálint Kövári, Tamás Bécsi, Szilárd Aradi
2022	Misc	`conf`	Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning. SACI Bálint Kövári, Bálint Pelenczei, Tamás Bécsi
2022	J	`jnl`	Reward Design for Intelligent Intersection Control to Reduce Emission. IEEE Access Bálint Kövári, Bálint Pelenczei, Szilárd Aradi, Tamás Bécsi
2020	—	`conf`	Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. ICMRE Bálint Kövári, Tamás Bécsi, Ádám Szabó, Szilárd Aradi
2020	J	`jnl`	Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. IEEE Access Tamás Bécsi, Ádám Szabó, Bálint Kövári, Szilárd Aradi, Péter Gáspár