Drawing inspiration from the success of previous neural autoregressive models applied to sequential raw data (e.g., images, text, and raw audio waveforms) and building upon previously proposed ...

They study the empirical scaling laws of a family of encoder-decoder autoregressive transformer models on the task of joint motion forecasting and planning in the autonomous driving domain. Using a ∼ ...