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Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer Open
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 of the agent is carried out in a simulation environment due…
Vision-based reinforcement learning for lane-tracking control Open
The present study focused on vision-based end-to-end reinforcement learning in relation to vehicle control problems such as lane following and collision avoidance. The controller policy presented in this paper is able to control a small-sc…