Web: http://arxiv.org/abs/2206.10797

June 23, 2022, 1:10 a.m. | Zoltán Lőrincz, Márton Szemenyei, Róbert Moni

cs.LG updates on arXiv.org arxiv.org

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 to safety, economic and time constraints. Later, the agent is
applied in the real-life domain using sim-to-real methods. In this paper, we
apply Imitation Learning methods that solve a robotics task in a simulated
environment and use transfer learning to …

arxiv driving imitation learning learning lg policy self-driving transfer

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY