Transfer Learning by Discovering Latent Task Parametrizations
Finale Doshi‐Velez, George Konidaris · Neural Information Processing Systems · 2012
We present a framework that is able to discover the latent factors that parametrize a family of related tasks from data. The resulting model is able to rapidly identify the dynamics of a new task instance, allowing an agent to flexibly adapt to task variations.