Education & Qualifications

  • BSc in Vehicle Engineering (2024)
  • MSc in Autonomous Vehicle Control Engineering (2026)

Research Areas

  • Reinforcement Learning
  • Large Language Models (LLMs)
  • Artificial Intelligence in Traffic Control
  • Robotics

Professional Experience

Research Fellow – HUN-REN SZTAKI

Teaching Activity

  • Electrotechnics
  • Programming

Awards, honors

Scientific Students’ Association Conference (TDK)

  • BME Faculty of Transportation and Vehicle Engineering TDK 2022: Merit Award
  • BME Faculty of Transportation and Vehicle Engineering TDK 2023: Pro Progressio Foundation Special Prize
  • BME Faculty of Transportation and Vehicle Engineering TDK 2023: Asura Special Prize
  • BME Faculty of Transportation and Vehicle Engineering TDK 2023: 1st Place
  • BME Faculty of Transportation and Vehicle Engineering TDK 2024: 2nd Place
  • BME Faculty of Transportation and Vehicle Engineering TDK 2024: 3rd Place
  • BME Faculty of Transportation and Vehicle Engineering TDK 2025: 3rd Place

National Scientific Students’ Association Conference (OTDK)

  • National OTDK (Engineering Sciences) 2025: 1st Place
  • National OTDK (Engineering Sciences) 2025: 2nd Place
  • National OTDK (Engineering Sciences) 2025: 2nd Place

Projects, scholarships

  • University Research Scholarship Programme 2024
  • University Research Scholarship Programme 2025
  • National Research Excellence Programme – ADVANCED

Highlighted Publications

Knáb, I., Bécsi, T., & Kővári, B. (2025).
Guided Experience Prioritization for Continuous Reinforcement Learning.
IEEE ACCESS, 13, 180145-180155. [SJR: Q1]
Kővári, B., Knáb, I., Esztergár-Kiss, D., Aradi, S., & Bécsi, T. (2024).
Distributed highway control: a cooperative reinforcement learning-based approach.
IEEE ACCESS, 12, 104463-104472. [SJR: Q1]
Kővári, B., Pelenczei, B., Knáb, I., & Bécsi, T. (2024).
Beyond Trial and Error: Lane Keeping with Monte Carlo Tree Search-Driven Optimization of Reinforcement Learning.
ELECTRONICS (SWITZ), 13(11). [SJR: Q2]
Kővári, B., Knáb, I., & Bécsi, T. (2025).
Variable Speed Limit Control for Highway Scenarios a Multi-agent Reinforcement Learning Based Approach.
LECTURE NOTES IN NETWORKS AND SYSTEMS, 1345, 102-114. [SJR: Q4]