  We introduce AlphaD3M, an automatic machine learning (AutoML) system based on
meta reinforcement learning using sequence models with self play. AlphaD3M is
based on edit operations performed over machine learning pipeline primitives
providing explainability. We compare AlphaD3M with state-of-the-art AutoML
systems: Autosklearn, Autostacker, and TPOT, on OpenML datasets. AlphaD3M
achieves competitive performance while being an order of magnitude faster,
reducing computation time from hours to minutes, and is explainable by design.
