Lilian Weng

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  • From GAN to WGAN

    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 a smooth metric for measuring the distance between two probability distributions.

    04/18/2019 ∙ by Lilian Weng, et al. ∙ 32 share

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  • ORRB -- OpenAI Remote Rendering Backend

    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 interfaces with the MuJoCo physics simulation library. ORRB was designed with visual domain randomization in mind. It is optimized for cloud deployment and high throughput operation. We are releasing it to the public under a liberal MIT license: https://github.com/openai/orrb .

    06/26/2019 ∙ by Maciek Chociej, et al. ∙ 12 share

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