Web: http://arxiv.org/abs/2206.11110

June 23, 2022, 1:11 a.m. | Aravinda Ramakrishnan Srinivasan, Yi-Shin Lin, Morris Antonello, Anthony Knittel, Mohamed Hasan, Majd Hawasly, John Redford, Subramanian Ramamoorthy,

cs.LG updates on arXiv.org arxiv.org

Autonomous vehicles use a variety of sensors and machine-learned models to
predict the behavior of surrounding road users. Most of the machine-learned
models in the literature focus on quantitative error metrics like the root mean
square error (RMSE) to learn and report their models' capabilities. This focus
on quantitative error metrics tends to ignore the more important behavioral
aspect of the models, raising the question of whether these models really
predict human-like behavior. Thus, we propose to analyze the output …

arxiv behavior human human-like lg machine models

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