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Eureka, an artificial intelligence agent developed by the research team at chipmaker NVIDIA, can teach robots complex skills like rapidly spinning a pen at par with humans, aNVIDIA, which is well known for its GPUs that made possible the training of ChatGPT, has also been working on its development platform, Omniverse, for building 3D tools and applications.
Eureka goes a step further and works with generative AI to write software code that rewards robots through reinforcement learning. This is done using GPT-4 LLM and does not need task-specific prompting or a predefined template. Moreover, the agent can incorporate human feedback to modify rewards to improve the results.
Eureka's library of algorithms works can be used on Isaac Gym, NVIDIA's physics simulations reference application built on Omniverse and used for reinforcement learning research. Powered byThe AI agent then prepares a summary fed into the LLM to improve reward functions using the critical stats from training results. The approach was used for a wide range of robot types, such as quadruped, bipedal, and quadrotor, with dexterous hands or cobot arms with equal ease.
The paper also lists performance improvements in in-depth evaluations of 20 tasks on which robots were trained using Eureka that involved complex manipulation skills.is confident its recent progress will encourage developers to take up more ambitious and challenging projects shortly.
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