Zobrazeno 1 - 10
of 4 233
pro vyhledávání: '"Watkins, David A."'
Autor:
Shang, Jinghuan, Schmeckpeper, Karl, May, Brandon B., Minniti, Maria Vittoria, Kelestemur, Tarik, Watkins, David, Herlant, Laura
Vision-based robot policy learning, which maps visual inputs to actions, necessitates a holistic understanding of diverse visual tasks beyond single-task needs like classification or segmentation. Inspired by this, we introduce Theia, a vision founda
Externí odkaz:
http://arxiv.org/abs/2407.20179
With large language models, robots can understand language more flexibly and more capable than ever before. This survey reviews and situates recent literature into a spectrum with two poles: 1) mapping between language and some manually defined forma
Externí odkaz:
http://arxiv.org/abs/2405.13245
Autor:
Joyce, Jeffrey P.
Publikováno v:
Air Power History, 2018 Jul 01. 65(2), 56-57.
Externí odkaz:
https://www.jstor.org/stable/26571124
In machine learning for sequential decision-making, an algorithmic agent learns to interact with an environment while receiving feedback in the form of a reward signal. However, in many unstructured real-world settings, such a reward signal is unknow
Externí odkaz:
http://arxiv.org/abs/2307.12158
Autor:
Milani, Stephanie, Kanervisto, Anssi, Ramanauskas, Karolis, Schulhoff, Sander, Houghton, Brandon, Mohanty, Sharada, Galbraith, Byron, Chen, Ke, Song, Yan, Zhou, Tianze, Yu, Bingquan, Liu, He, Guan, Kai, Hu, Yujing, Lv, Tangjie, Malato, Federico, Leopold, Florian, Raut, Amogh, Hautamäki, Ville, Melnik, Andrew, Ishida, Shu, Henriques, João F., Klassert, Robert, Laurito, Walter, Novoseller, Ellen, Goecks, Vinicius G., Waytowich, Nicholas, Watkins, David, Miller, Josh, Shah, Rohin
To facilitate research in the direction of fine-tuning foundation models from human feedback, we held the MineRL BASALT Competition on Fine-Tuning from Human Feedback at NeurIPS 2022. The BASALT challenge asks teams to compete to develop algorithms t
Externí odkaz:
http://arxiv.org/abs/2303.13512
Autor:
Choromanski, Krzysztof, Sehanobish, Arijit, Lin, Han, Zhao, Yunfan, Berger, Eli, Parshakova, Tetiana, Pan, Alvin, Watkins, David, Zhang, Tianyi, Likhosherstov, Valerii, Chowdhury, Somnath Basu Roy, Dubey, Avinava, Jain, Deepali, Sarlos, Tamas, Chaturvedi, Snigdha, Weller, Adrian
Publikováno v:
ICML 2023
We present two new classes of algorithms for efficient field integration on graphs encoding point clouds. The first class, SeparatorFactorization(SF), leverages the bounded genus of point cloud mesh graphs, while the second class, RFDiffusion(RFD), u
Externí odkaz:
http://arxiv.org/abs/2302.00942
Despite recent advancement in virtual reality technology, teleoperating a high DoF robot to complete dexterous tasks in cluttered scenes remains difficult. In this work, we propose a system that allows the user to teleoperate a Fetch robot to perform
Externí odkaz:
http://arxiv.org/abs/2301.13064
We propose the Multiple View Performer (MVP) - a new architecture for 3D shape completion from a series of temporally sequential views. MVP accomplishes this task by using linear-attention Transformers called Performers. Our model allows the current
Externí odkaz:
http://arxiv.org/abs/2209.06291
Autor:
Watkins, David
Cryptocurrencies have garnered a lot of attention by governments and internet enthusiasts over the past three years. These currencies are celebrated for their security and speedy transactions in a modern era of digital commerce. Bitcoin was the first
Externí odkaz:
http://arxiv.org/abs/2208.02160
Autor:
Watkins, David
Providing mobile robots with the ability to manipulate objects has, despite decades of research, remained a challenging problem. The problem is approachable in constrained environments where there is ample prior knowledge of the environment layout an
Externí odkaz:
http://arxiv.org/abs/2206.03448