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 ∼ ...

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 ...