Reviews: Learning Compositional Neural Programs with Recursive Tree Search and Planning

It instead learns the hierarchy of program subroutines in a curriculum fashion, adding a pre- and post-condition to each subroutine and extending the MCTS setup of AlphaZero to handle recursive subroutine calls. The paper demonstrates that the resulting formulation learns the programs in both Sorting and TowersOfHanoi domains more effectively than prior work.