4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.RO2023
A Universal Semantic-Geometric Representation for Robotic Manipulation
Tong Zhang, Yingdong Hu, Hanchen Cui +2
Robots rely heavily on sensors, especially RGB and depth cameras, to perceive and interact with the world. RGB cameras record 2D images with rich semantic information while missing…
cs.AI2023★ 4 cited
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Renhao Wang, Jiayuan Mao, Joy Hsu +3
Robots operating in the real world require both rich manipulation skills as well as the ability to semantically reason about when to apply those skills. Towards this goal, recent w…
cs.CL2018
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning
Yang Gao, Christian M. Meyer, Iryna Gurevych
We propose a method to perform automatic document summarisation without using reference summaries. Instead, our method interactively learns from users' preferences. The merit of pr…