no code implementations • 10 Apr 2023 • Norberto Adrian Goussies, Kenji Hata, Shruthi Prabhakara, Abhishek Amit, Tony Aube, Carl Cepress, Diana Chang, Li-Te Cheng, Horia Stefan Ciurdar, Mike Cleron, Chelsey Fleming, Ashwin Ganti, Divyansh Garg, Niloofar Gheissari, Petra Luna Grutzik, David Hendon, Daniel Iglesia, Jin Kim, Stuart Kyle, Chris LaRosa, Roman Lewkow, Peter F McDermott, Chris Melancon, Paru Nackeeran, Neal Norwitz, Ali Rahimi, Brett Rampata, Carlos Sobrinho, George Sung, Natalie Zauhar, Palash Nandy
We present a novel self-contained camera-projector tabletop system with a lamp form-factor that brings digital intelligence to our tables.
3 code implementations • 5 Jan 2023 • Divyansh Garg, Joey Hejna, Matthieu Geist, Stefano Ermon
Using EVT, we derive our \emph{Extreme Q-Learning} framework and consequently online and, for the first time, offline MaxEnt Q-learning algorithms, that do not explicitly require access to a policy or its entropy.
no code implementations • 14 Apr 2022 • Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Chan Jun Shern, Daniel del Castillo, Tom Lieberum
The goal of the competition was to promote research towards agents that use learning from human feedback (LfHF) techniques to solve open-world tasks.
1 code implementation • 28 Feb 2022 • Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon
Learning policies that effectively utilize language instructions in complex, multi-task environments is an important problem in sequential decision-making.
5 code implementations • NeurIPS 2021 • Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Matthieu Geist, Stefano Ermon
In many sequential decision-making problems (e. g., robotics control, game playing, sequential prediction), human or expert data is available containing useful information about the task.
Ranked #1 on MuJoCo Games on Walker2d
1 code implementation • NeurIPS 2020 • Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Existing approaches to depth or disparity estimation output a distribution over a set of pre-defined discrete values.
Ranked #2 on Stereo Depth Estimation on KITTI2015 (three pixel error metric)
3D Object Detection From Stereo Images Autonomous Driving +5
1 code implementation • CVPR 2020 • Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao
Reliable and accurate 3D object detection is a necessity for safe autonomous driving.
1 code implementation • ICLR 2020 • Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
In this paper we provide substantial advances to the pseudo-LiDAR framework through improvements in stereo depth estimation.
3D Object Detection From Stereo Images Autonomous Driving +2
2 code implementations • CVPR 2019 • Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
However, in this paper we argue that it is not the quality of the data but its representation that accounts for the majority of the difference.
3D Object Detection From Stereo Images Autonomous Driving +2