Bálint Pelenczei
Introduction
Bálint Pelenczei received his B.Sc. degree in Vehicle Engineering with vehicle mechatronics specialisation from the Faculty of Transportation Engineering and Vehicle Engineering of Budapest University of Technology and Economics in 2024. Currently, he is pursuing his M.Sc. degree in Autonomous Vehicle Control Engineering at the Faculty of Transportation Engineering and Vehicle Engineering of Budapest University of Technology and Economics. His main research interest is related to investigation and development of Reinforcement Learning-supported Machine Learning methods in the automotive industry.
Results
TDK 2023 (BME KJK): Evaluation and development of experience prioritization methods for Reinforcement Learning (2nd place)
TDK 2021 (BME KJK): Adaptive Traffic Signal Control using Reinforcement Learning and MCTS (2nd place)
Important publications
Enhanced Experience Prioritization: A Novel Upper Confidence Bound Approach
Publication date2023