Policy Gradient Based Control of a Pneumatic Actuator Enhanced with Monte Carlo Tree Search. - Bálint Kövári; Tamás Bécsi; Ádám Szabó; Szilárd Aradi (ICMRE, 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)

Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning. - Bálint Kövári; Bálint Pelenczei; Tamás Bécsi (SACI, 2022)

Designing Reward Functions in Multi-Agent Reinforcement Learning for Intelligent Intersection Control. - Máté Kolat; Bálint Kövári; Tamás Bécsi; Szilárd Aradi (SISY, 2022)

Competitive Multi-Agent Reinforcement Learning for Traffic Signal Control. - Bálint Kövári; Máté Kolat; Tamás Bécsi; Szilárd Aradi (SISY, 2022)

Reward Design for Intelligent Intersection Control to Reduce Emission. - Bálint Kövári; Bálint Pelenczei; Szilárd Aradi; Tamás Bécsi (IEEE Access, 2022)

Multi-Agent Reinforcement Learning for railway rescheduling. - Bálint Kövári; Csanád L. Balogh; Szilárd Aradi (SACI, 2023)

Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. - Bálint Kövári; Bálint Pelenczei; Tamás Bécsi (IEEE Access, 2023)

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 (ICINCO (2), 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 (ICINCO (2), 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)

Strategic data navigation: information value-based sample selection. - Csanád L. Balogh; Bálint Pelenczei; Bálint Kövári; Tamás Bécsi (Artif. Intell. Rev., 2024)