> This trend dates back at least to the machine learning bible, Elements of Statistical Learning (2001).

Could you elaborate on this?

Hi, I work on RL, or as it is known today, "classical" RL. I'm interested in knowing the latest work that explains double descent and in general optimisation behaviour of overparameterized neural networks. Do you have a survey paper or blog post or anything else to recommend?