Reviews: Compiler Auto-Vectorization with Imitation Learning

This paper uses imitation learning to solve the compiler auto-vectorization problem. It trains an agent to mimic the optimal solution generated by an integer linear programming solver. It outperforms production-level compiler LLVM in the experiments. Originality: The novelty is incremental. This paper directly combines well-known techniques and does not make any new contribution from the machine learning perspective.