Simulation-Based Reinforcement Learning for Real-World Autonomous Driving
Błażej Osiński,Adam Jakubowski,Paweł Zięcina,Piotr Miłoś,Christopher Galias,Silviu Homoceanu,Henryk Michalewski,Błażej Osiński,Adam Jakubowski,Paweł Zięcina,Piotr Miłoś,Christopher Galias,Silviu Homoceanu,Henryk Michalewski
We use reinforcement learning in simulation to obtain a driving system controlling a full-size real-world vehicle. The driving policy takes RGB images from a single camera and their semantic segmentation as input. We use mostly synthetic data, with labelled real-world data appearing only in the training of the segmentation network.Using reinforcement learning in simulation and synthetic data is mo...
