no code implementations • 13 Sep 2022 • David Watkins-Valls, Peter Allen, Krzysztof Choromanski, Jacob Varley, Nicholas Waytowich
We propose the Multiple View Performer (MVP) - a new architecture for 3D shape completion from a series of temporally sequential views.
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 • 7 Dec 2021 • Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls, Bharat Prakash
In this work, we present the solution that won first place and was awarded the most human-like agent in the 2021 NeurIPS Competition MineRL BASALT Challenge: Learning from Human Feedback in Minecraft, which challenged participants to use human data to solve four tasks defined only by a natural language description and no reward function.
no code implementations • 20 Sep 2019 • David Watkins-Valls, Jingxi Xu, Nicholas Waytowich, Peter Allen
We present a robot navigation system that uses an imitation learning framework to successfully navigate in complex environments.
1 code implementation • 20 Mar 2018 • Jacob Varley, David Watkins-Valls, Peter Allen
At runtime, the network is provided a partial view of an object and tactile information is acquired to augment the captured depth information.
Robotics