635 citations · 1.6k across the 7 of their papers we have counts for
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cs.LG2019★ 635 cited
Solving Rubik's Cube with a Robot Hand
OpenAI, Ilge Akkaya, Marcin Andrychowicz +16
We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot. This is made possible by two key comp…
cs.GR2019★ 10 cited
ORRB -- OpenAI Remote Rendering Backend
Maciek Chociej, Peter Welinder, Lilian Weng
We present the OpenAI Remote Rendering Backend (ORRB), a system that allows fast and customizable rendering of robotics environments. It is based on the Unity3d game engine and int…
cs.LG2019★ 23 cited
From GAN to WGAN
Lilian Weng
This paper explains the math behind a generative adversarial network (GAN) model and why it is hard to be trained. Wasserstein GAN is intended to improve GANs' training by adopting…