Evaluation of Proximal Policy Optimization with Extensions in Virtual Environments of Various Complexity. - Róbert Rauch; Stefan Korecko; Juraj Gazda (RADIOELEKTRONIKA, 2022)

Leveraging LSTM Networks for Adaptive Deep Learning in Connected Autonomous Vehicles. - Róbert Rauch; Juraj Gazda; Marco Levorato (WCNC, 2025)

Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Task Execution and Resource Allocation in Vehicular Edge Computing. - Róbert Rauch; Zdenek Becvar; Pavel Mach; Juraj Gazda (IEEE Trans. Veh. Technol., 2025)