Thanks for the link. This is interesting work, although not related to operations on program syntax trees. From what I understand, they are using reinforcement

Thanks for the link. This is interesting work, although not related to operations on program syntax trees. From what I understand, they are using reinforcement learning techniques inspired by AutoML to learn architectures for language models that are effective at code generation. They have reinforcement learning models optimizing the neural networks that generate code. Pretty cool and reminds of work that followed on the heels of AutoML to build neural networks to automatically solve arbitrary ML problems (with the problem as the input parameter).