Continual Learning Is Arriving in Pieces

A while back I wrote about how startups are using reinforcement learning to make agents more reliable. A deeper problem behind that whole trend keeps resurfacing: a model can improve during training, but the moment it’s deployed, learning largely stops. A policy changes, a new edge case shows up, a user corrects the system, and Continue reading "Continual Learning Is Arriving in Pieces" The post Continual Learning Is Arriving in Pieces appeared first on Gradient Flow .