Nvidia Research announced today that it has developed a new AI agent, called Eureka, that is powered by OpenAI’s GPT-4 and can autonomously teach robots complex skills.

In a blog post, the company said Eureka, which autonomously writes reward algorithms, has, for the first time, trained a robotic hand to perform rapid pen-spinning tricks as well as a human can. Eureka has also taught robots to open drawers and cabinets, toss and catch balls, and manipulate scissors, among nearly 30 tasks.

“Reinforcement learning has enabled impressive wins over the last decade, yet many challenges still exist, such as reward design, which remains a trial-and-error process,” Anima Anandkumar, senior director of AI research at Nvidia and an author of the Eureka paper, said in the blog post. “Eureka is a first step toward developing new algorithms that integrate generative and reinforcement learning methods to solve hard tasks.”

Nvidia Research also published the Eureka library of AI algorithms for people to experiment with them using Nvidia Isaac Gym, a physics simulation reference application for reinforcement learning research. Isaac Gym is built on Nvidia Omniverse, a development platform for building 3D tools and applications based on the OpenUSD framework.

By: DocMemory
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