Researchers at Duke University and the Army Research Laboratory have developed a new framework that enables artificial intelligence (AI) to learn through real-time human feedback, rather than relying on massive datasets and simulations. Dubbed GUIDE, this platform allows humans to observe AI's actions in real-time and provide nuanced feedback, similar to how a driving instructor would teach a student driver. According to Boyuan Chen, professor of mechanical engineering and materials science at Duke, existing training methods are limited by their reliance on pre-existing datasets and traditional feedback approaches. GUIDE bridges this gap by incorporating continuous human feedback, enabling AI to learn complex tasks more like humans. In its debut study, GUIDE was used to teach an AI player how to play hide-and-seek, with a human trainer providing real-time feedback on the AI's searching strategy. The results showed a significant improvement in the AI's performance, with up to a 30% increase in success rates compared to current state-of-the-art methods.
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