This AI entrepreneur is developing agents that can plan ahead for the unexpected
Entrepreneur Danijar Hafner is leading a stealth startup focused on developing AI agents capable of navigating unfamiliar physical environments. By using model-based reinforcement learning, these agents can predict future outcomes and adapt to new spaces, such as homes, without extensive real-world training.
Why it matters
Advancing AI's ability to handle unpredictable physical environments is a critical step toward the widespread adoption of humanoid robots in human-centric spaces.
Artificial intelligence This entrepreneur is developing agents that can plan ahead Danijar Hafner has a startup in stealth and a long track record of teaching AI agents about our world.
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 for in robots. Humanoids of various shapes and sizes hang like marionettes from racks that run down the center of the wide-open space.
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