87 citations · 107 across the 4 of their papers we have counts for
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cs.RO2019★ 87 cited
Non-Smooth Newton Methods for Deformable Multi-Body Dynamics
Miles Macklin, Kenny Erleben, Matthias Müller +3
We present a framework for the simulation of rigid and deformable bodies in the presence of contact and friction. Our method is based on a non-smooth Newton iteration that solves t…
cs.RO2018★ 17 cited
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang, Viktor Makoviychuk, Ankur Handa +3
Most Deep Reinforcement Learning (Deep RL) algorithms require a prohibitively large number of training samples for learning complex tasks. Many recent works on speeding up Deep RL…