EUREKA: Human-Level Reward Design via Coding Large Language Models

With the advancements Large Language Models have made in recent years, it's unsurprising why these LLM frameworks excel as semantic planners for sequential high-level decision-making tasks. However, developers still find it challenging to utilize the full potential of LLM frameworks for learning complex low-level manipulation tasks. Despite their efficiency, today's Large Language Models require considerable […]

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