Autoregressive Policy

A policy architecture that generates multi-dimensional actions one dimension at a time, conditioning each subsequent dimension on the previously generated ones. Autoregressive policies can model complex, multi-modal action distributions more faithfully than Gaussian policies. The trade-off is slower inference due to sequential generation. Used in BeT (Behavior Transformers) and some diffusion policy variants.