Education & Qualifications

  • Vehicle Engineer BSc
  • Autonomous Vehicle Engineer MSc

Research Areas

  • Reinforcement Learning
  • Machine Learning (Neural Networks, Deep Learning)
  • Large Language Models (LLMs)
  • Vision Language Action (VLA) models
  • Vision Language Models (VLMs)

Teaching Activity

  • Programming

Highlighted Publications

Farkas, P., Becsi, T., & Aradi, S. (2026).
Residual Reinforcement Learning Enhanced with Unsuccessful Episode Buffer.
IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 7, 37-48. [SJR: D1]
Farkas, P., Szoke, L., Aradi, S., & Becsi, T. (2025).
Learn to Adapt: A Policy for History-Based Online Adaptation.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 9(6), 4026-4036. [SJR: D1]
Farkas, P., Török, B., & Aradi, S. (2025).
Integrating a Stereo Vision System on the F1Tenth Platform for Enhanced Perception.
ENGINEERING PROCEEDINGS, 113(1). [SJR: Q3]
Szoke, L., Farkas, P., Aradi, S., & Becsi, T. (2025).
Adapting RL Control Policies to Changing Dynamics for Improved Robustness.
LECTURE NOTES IN NETWORKS AND SYSTEMS, 1345, 78-89. [SJR: Q4]