Comment by wasabi991011

Seems interesting, do you have any place to read more?

I took a look at DEAP, but it seems to be more tree-based, where as you seem to be talking about "linear program tapes" which I know nothing about.

Also, it seems like the examples I find online of genetic programming are mostly discrete optimization, sometimes policy. The only classification problem that DEAP gave as an example was spambase, which uses pre-computed features (word frequencies) as the dataset (rather than the raw emails).

Can you describe linear program tapes a bit? And give an example of a machine learning task more similar to where DNN are used that would be amenable to GP without feature engineering?