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May 10, 2024, 2:22 pm158 pts
Ars Technica
Enlarge (credit: boonchai wedmakawand) Reinforcement-learning algorithms in systems like ChatGPT or Google’s Gemini can work wonders, but they usually need hundreds of thousands of shots at a task before they get good at it. That’s why it’s always been hard to transfer this performance to robots. You…
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