Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

Nikita Rudin, David Hoeller, Philipp Reist +1

In this work, we present and study a training set-up that achieves fast policy generation for real-world robotic tasks by using massive parallelism on a single workstation GPU. We…