20 citations · 33 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer
Zoltán Lőrincz, Márton Szemenyei, Róbert Moni
Imitation Learning uses the demonstrations of an expert to uncover the optimal policy and it is suitable for real-world robotics tasks as well. In this case, however, the training…
cs.LG2020★ 12 cited
Sim-to-real reinforcement learning applied to end-to-end vehicle control
András Kalapos, Csaba Gór, Róbert Moni +1
In this work, we study vision-based end-to-end reinforcement learning on vehicle control problems, such as lane following and collision avoidance. Our controller policy is able to…
cs.RO2020★ 20 cited
Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World
Péter Almási, Róbert Moni, Bálint Gyires-Tóth
Deep Reinforcement Learning (DRL) has been successfully used to solve different challenges, e.g. complex board and computer games, recently. However, solving real-world robotics ta…