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🤖OpenAI
February 26, 2018
Research

Ingredients for robotics research

Overview

OpenAI has made several internal tools available to the public to support ongoing robotics development. The release contains eight simulated robotics environments alongside a Baselines version of Hindsight Experience Replay. In addition, the organization published a series of requests to help direct future research efforts.

Key Takeaways

  • OpenAI has opened up resources from its past year of research, making "eight simulated robotics environments" available to the broader community.

    Alongside these environments, the organization released a Baselines implementation of Hindsight Experience Replay, an algorithm used to train models.

  • OpenAI noted that virtual models developed using these environments have already proven effective when applied to physical hardware.

    To further stimulate progress across the domain, OpenAI also shared a set of specific research requests for developers.

  • These releases highlight how virtual simulation tools enable robotic systems to master skills safely in software before transferring those capabilities to physical machinery.

    OpenAI released "eight simulated robotics environments" created during its internal research over the previous year.

  • The release features a Baselines implementation of Hindsight Experience Replay to assist with reinforcement learning.

    Models trained inside these virtual environments have successfully been deployed on physical robots.

  • The organization published a list of research requests to encourage further advancements in robotics.

OpenAI has opened up resources from its past year of research, making "eight simulated robotics environments" available to the broader community. Alongside these environments, the organization released a Baselines implementation of Hindsight Experience Replay, an algorithm used to train models. OpenAI noted that virtual models developed using these environments have already proven effective when applied to physical hardware.

To further stimulate progress across the domain, OpenAI also shared a set of specific research requests for developers. These releases highlight how virtual simulation tools enable robotic systems to master skills safely in software before transferring those capabilities to physical machinery. OpenAI released "eight simulated robotics environments" created during its internal research over the previous year.

The release features a Baselines implementation of Hindsight Experience Replay to assist with reinforcement learning. Models trained inside these virtual environments have successfully been deployed on physical robots. The organization published a list of research requests to encourage further advancements in robotics.

For more details please read the original article at OpenAI.

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Originally published by OpenAI
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