no code implementations • CVPR 2023 • Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun
In this paper, we study the problem of unsupervised object detection from 3D point clouds in self-driving scenes.
no code implementations • 2 Nov 2023 • Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun
Learning world models can teach an agent how the world works in an unsupervised manner.
no code implementations • 2 Nov 2023 • Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun
Our experiments show that RTR learns more realistic and generalizable traffic simulation policies, achieving significantly better tradeoffs between human-like driving and traffic compliance in both nominal and long-tail scenarios.
no code implementations • 26 Sep 2022 • Lunjun Zhang, Bradly C. Stadie
Intuitively, learning from those arbitrary demonstrations can be seen as a form of imitation learning (IL).
no code implementations • 1 Jan 2021 • Lunjun Zhang, Ge Yang, Bradly C Stadie
Planning - the ability to analyze the structure of a problem in the large and decompose it into interrelated subproblems - is a hallmark of human intelligence.
1 code implementation • 25 Nov 2020 • Lunjun Zhang, Ge Yang, Bradly C. Stadie
Planning - the ability to analyze the structure of a problem in the large and decompose it into interrelated subproblems - is a hallmark of human intelligence.