Maybe something akin to this: https://blog.openai.com/interpretable-machine-learning-throu...

My thinking is you could train the first generation without simpler tasks but it would pick up crude skills along the way. Have the first generation generate tasks that convey the basic skills it learned and use that to teach the second generation.

Edit: Or just feedback the generated tasks and not train a new neural net...