Web: http://arxiv.org/abs/2206.08500

June 20, 2022, 1:10 a.m. | Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi

cs.LG updates on arXiv.org arxiv.org

Today's state of the art visual navigation agents typically consist of large
deep learning models trained end to end. Such models offer little to no
interpretability about the learned skills or the actions of the agent taken in
response to its environment. While past works have explored interpreting deep
learning models, little attention has been devoted to interpreting embodied AI
systems, which often involve reasoning about the structure of the environment,
target characteristics and the outcome of one's actions. In …

about agents arxiv cv environment navigation

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