1 Post

Observational dropout

Seeing the World Blindfolded: The observational dropout technique, explained

In reinforcement learning, if researchers want an agent to have an internal representation of its environment, they’ll build and train a world model that it can refer to. New research shows that world models can emerge from standard training, rather than needing to be built separately.

Subscribe to The Batch

Stay updated with weekly AI News and Insights delivered to your inbox