Meet Eureka: A Human-Level Reward Design Algorithm Powered by Large Language Model LLMs

Large Language Models (LLMs) are great at high-level planning but need to help master low-level tasks like pen spinning. However, a team of researchers from NVIDIA, UPenn, Caltech, and UT Austin have developed an algorithm called EUREKA that uses advanced LLMs, such as GPT-4, to create reward functions for complex skill acquisition through reinforcement learning. […]

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