Tamás Bécsi - RankMe

47 papers C 1Misc 7Journal 23Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Physics-informed neural particle flow for the Bayesian update step. CoRR Domonkos Csuzdi, Tamás Bécsi, Olivér Töro
2026	J	`jnl`	Residual Reinforcement Learning Enhanced With Unsuccessful Episode Buffer. IEEE Open J. Comput. Soc. Peter Farkas, Tamás Bécsi, Szilárd Aradi
2025	J	`jnl`	Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps. Complex Intell. Syst. Domonkos Csuzdi, Tamás Bécsi, Péter Gáspár, Olivér Töro
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	J	`jnl`	Learn to Adapt: A Policy for History-Based Online Adaptation. IEEE Trans. Emerg. Top. Comput. Intell. Peter Farkas, Laszlo Szoke, Szilárd Aradi, Tamás Bécsi
2025	J	`jnl`	MCTS-Based Policy Improvement for Reinforcement Learning. Mach. Learn. Knowl. Extr. György Csippán, István Péter, Bálint Kövári, Tamás Bécsi
2025	J	`jnl`	Path planning via reinforcement learning with closed-loop motion control and field tests. Eng. Appl. Artif. Intell. Árpád Fehér, Ádám Domina, Ádám Bárdos, Szilárd Aradi, Tamás Bécsi
2025	J	`jnl`	Semi-Automatic BEV Ground Truth Generation for Automotive Perception Systems. IEEE Trans. Intell. Veh. László Lindenmaier, Szilárd Aradi, Tamás Bécsi, Péter Gáspár
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	Misc	`conf`	Differentiable Particle Filtering Using Optimal Placement Resampling. SACI Domonkos Csuzdi, Olivér Töro, Tamás Bécsi
2024	J	`jnl`	Differentiable Particle Filtering using Optimal Placement Resampling. CoRR Domonkos Csuzdi, Olivér Töro, Tamás Bécsi
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	Misc	`conf`	A Runtime-Efficient Multi-Object Tracking Approach for Automotive Perception Systems. SACI László Lindenmaier, Balázs Czibere, Szilárd Aradi, Tamás Bécsi
2023	J	`jnl`	Analytic solution of the exact Daum-Huang flow equation for particle filters. Inf. Fusion Olivér Töro, Tamás Bécsi
2023	J	`jnl`	Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach. IEEE Access Bálint Kövári, Bálint Pelenczei, Tamás Bécsi
2023	J	`jnl`	Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception. IEEE Trans. Intell. Veh. László Lindenmaier, Szilárd Aradi, Tamás Bécsi, Olivér Töro, Péter Gáspár
2022	J	`jnl`	Analytic solution of the exact Daum-Huang flow equation for particle filters. CoRR Olivér Töro, Tamás Bécsi
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	J	`jnl`	GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System. IEEE Trans. Veh. Technol. László Lindenmaier, Szilárd Aradi, Tamás Bécsi, Olivér Töro, Péter Gáspár
2022	Misc	`conf`	MILP-Based Optimization of the Extended Real- Time Railway Traffic Management Problem. SACI László Lindenmaier, Szilárd Aradi, Tamás Bécsi, István Ferenc Lövétei
2022	Misc	`conf`	Monte Carlo Tree Search to Compare Reward Functions for Reinforcement Learning. SACI Bálint Kövári, Bálint Pelenczei, Tamás Bécsi
2022	J	`jnl`	Performance Evaluation of a Maneuver Classification Algorithm Using Different Motion Models in a Multi-Model Framework. Sensors Máté Kolat, Olivér Töro, Tamás Bécsi
2022	J	`jnl`	Reward Design for Intelligent Intersection Control to Reduce Emission. IEEE Access Bálint Kövári, Bálint Pelenczei, Szilárd Aradi, Tamás Bécsi
2022	J	`jnl`	Skills to Drive: Successor Features for Autonomous Highway Pilot. IEEE Trans. Intell. Transp. Syst. Laszlo Szoke, Szilárd Aradi, Tamás Bécsi, Péter Gáspár
2021	J	`jnl`	PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability. Sensors Olivér Töro, Tamás Bécsi, Péter Gáspár
2020	J	`jnl`	Hierarchical Evasive Path Planning Using Reinforcement Learning and Model Predictive Control. IEEE Access Árpád Fehér, 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	—	`conf`	Proving Ground Test of a DDPG-based Vehicle Trajectory Planner. ECC Árpád Fehér, Szilárd Aradi, Tamás Bécsi, Péter Gáspár, Zsolt Szalay
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
2020	Misc	`conf`	Vehicle Control in Highway Traffic by Using Reinforcement Learning and Microscopic Traffic Simulation. SISY Laszlo Szoke, Szilárd Aradi, Tamás Bécsi, Peter Gaspar
2019	—	`conf`	Hybrid DDPG Approach for Vehicle Motion Planning. ICINCO (1) Árpád Fehér, Szilárd Aradi, Ferenc Hegedüs, Tamás Bécsi, Péter Gáspár
2018	—	`conf`	Control design of an electro-pneumatic gearbox actuator. MESA Ádám Szabó, Tamás Bécsi, Peter Gaspar, Szilárd Aradi
2018	—	`conf`	Control oriented modeling of an electro-pneumatic gearbox actuator. ECC Ádám Szabó, Tamás Bécsi, Peter Gaspar, Szilárd Aradi
2018	—	`conf`	Highway Environment Model for Reinforcement Learning SyRoCo Tamás Bécsi, Szilárd Aradi, Árpád Fehér, János Szalay, Péter Gáspár
2018	—	`conf`	IMM Bernoulli Gaussian Particle Filter SyRoCo Olivér Töro, Tamás Bécsi, Szilárd Aradi, Péter Gáspár
2018	—	`conf`	Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving. CCTA Szilárd Aradi, Tamás Bécsi, Peter Gaspar
2018	—	`conf`	Policy gradient based Reinforcement learning control design of an electro-pneumatic gearbox actuator SyRoCo Tamás Bécsi, Szilárd Aradi, Ádám Szabó, Péter Gáspár
2015	J	`jnl`	Educational Frameworks for Vehicle Mechatronics. IEEE Trans. Intell. Transp. Syst. Tamás Bécsi, Szilárd Aradi, Peter Gaspar
2015	—	`conf`	Security issues and vulnerabilities in connected car systems. MT-ITS Tamás Bécsi, Szilárd Aradi, Peter Gaspar
2014	—	`conf`	Design of an educational emulation framework for mechatronics control unit development. MESA Tamás Bécsi, Szilárd Aradi, Peter Gaspar
2014	—	`conf`	Design of predictive optimization method for energy-efficient operation of trains. ECC Szilárd Aradi, Tamás Bécsi, Péter Gáspár
2014	—	`conf`	Design of wireless gateway between on-board vehicle wired networks and mobile devices. ICCVE Szilárd Aradi, Tamás Bécsi, Péter Gáspár, Gabor Barany, Adam Hajdu
2014	—	`conf`	Experimental vehicle development for testing autonomous vehicle functions. MESA Szilárd Aradi, Tamás Bécsi, Peter Gaspar