This AI entrepreneur is developing agents that can plan ahead for the unexpected
Ex-Google DeepMind researcher Danijar Hafner founded a stealth robotics startup applying world models and model-based reinforcement learning to humanoid agents.
Danijar Hafner, 31, left Google DeepMind in fall 2025 to found a stealth San Francisco startup developing humanoid robots that plan ahead using world models trained via model-based reinforcement learning. His prior work includes PlaNet, Dreamer 2 (first human-level Atari agent in a world model), Dreamer 3 (solved the Minecraft Diamond challenge), Dreamer 4 (learned diamond mining from offline video), and DayDreamer, which let robots adapt to novel situations without task-specific training. The profile covers his career from Google Brain intern to founder aiming to handle unfamiliar real-world environments.
- Dreamer 4 learned to mine Minecraft diamonds from offline gameplay videos
- DayDreamer robots reacted to untrained events such as being pushed over
- Startup uses humanoid robots imported from China for general-environment navigation
- Tags
- danijar-hafnerdreamergoogle-deepmindhumanoid-robotsmodel-based-reinforcement-learningroboticsworld-models
- Vendors
- Products
- DreamerDayDreamer
- Organizations
- Google DeepMindHasso Plattner Institute
- Countries
- Germany
From the original article
3 min read at technologyreview.com
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.
By Mat Honan · technologyreview.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.