Intrinsic discovery uses RL to uncover new behavior in an environment. The model is rewarded for reaching states unlike those found so far, then sampled again after each update to push exploration further.
This approach discovers 5× more novel states than a frozen baseline.
Show more
We’re introducing imagination models: a new foundation model architecture that unlocks learning from internet-scale video.
Our first imagination model, Photon-1, learned to use a computer by watching 18 years of screen recording video without action labels.
Show more
