Learning Transferable Policies from Action-free Time Series Through Dynamical Embeddings

Niklas Emonds, Georgia Koppe

Learning control from action-free recordings is challenging because intervention effects are unobserved and policies may exploit errors in reconstructed dynamics. We present a hier…