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Concept

Model-based reinforcement learning

An AI training method where agents learn to act within simulated *world models* that emulate physical reality, allowing them to predict outcomes and plan actions without real-world trial-and-error.

Catégorie : Tech

Articles liés (1)

This AI entrepreneur is developing agents that can plan ahead for the unexpected

Danijar Hafner’s office in San Francisco’s SoMa district sits mostly empty. His brand-new startup is still in stealth mode and doesn’t even have its name on the door. On the day I visit, there’s only one other person there, and little in the way of furniture. But what it lacks in decor, it makes up…

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