36 citations · 85 across the 17 of their papers we have counts for
3 papers · 1 filter
A Survey on Reinforcement Learning Methods in Character Animation
Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton +4
Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environme…
DASH: Modularized Human Manipulation Simulation with Vision and Language for Embodied AI
Yifeng Jiang, Michelle Guo, Jiangshan Li +3
Creating virtual humans with embodied, human-like perceptual and actuation constraints has the promise to provide an integrated simulation platform for many scientific and engineer…
Learning to Manipulate Amorphous Materials
Yunbo Zhang, Wenhao Yu, C. Karen Liu +2
We present a method of training character manipulation of amorphous materials such as those often used in cooking. Common examples of amorphous materials include granular materials…