20 citations · 59 across the 17 of their papers we have counts for
4 papers · 1 filter
Real-Time Locomotion on Soft Grounds With Dynamic Footprints
Eduardo Alvarado, Chloé Paliard, Damien Rohmer +1
When we move on snow, sand, or mud, the ground deforms under our feet, immediately affecting our gait. We propose a physically based model for computing such interactions in real t…
Generating Upper-Body Motion for Real-Time Characters Making their Way through Dynamic Environments
Eduardo Alvarado, Damien Rohmer, Marie-Paule Cani
Real-time character animation in dynamic environments requires the generation of plausible upper-body movements regardless of the nature of the environment, including non-rigid obs…
Understanding reinforcement learned crowds
Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré +1
Simulating trajectories of virtual crowds is a commonly encountered task in Computer Graphics. Several recent works have applied Reinforcement Learning methods to animate virtual a…
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…