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Can GPT-4 teach a robot hand to do pen-spinning tricks better than you do?

How to Fake Everything with AI

By 5 min read
Can GPT-4 teach a robot hand to do pen-spinning tricks better than you do?

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Can GPT-4 teach a robot hand to do pen-spinning tricks better than you do?

Eureka bridges the gap between high-level reasoning (coding) and low-level motor control. It is a “hybrid-gradient architecture”: a black box, inference-only LLM instructs a white box, learnable neural network. The outer loop runs GPT-4 to refine the reward function (gradient-free), while the inner loop runs reinforcement learning to train a robot controller (gradient-based).

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RL community should be in awe and shocked by the Eureka paper🫨. The idea here is that you feed the source code of the environment to GPT-4 and ask it to write code for the reward function itself! Then you evaluate this reward function in simulation and provide your evaluation results back to GPT-4 so it can make improvements to the reward function!! You do this over and over and RL eventually ends up achieving superhuman results in lots of different challenges, all without human intervention!!!

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How to Fake Everything with AI (Why Does This Exist?)

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