[IX-103]

The key thing you're missing is transfer learning. Instead of starting from scratch, you start with a model that was trained to do something and then train it to do something else. It takes much less time and labeled data to get the model to do something similar.

You can even interleave the training for the second task with a few training rounds for the first task to maintain proficiency. There's a group that's using this sorry if technique to make a general "plays videogames" AI. I couldn't find a good link from my phone, but here's a less good link about something similar: https://towardsdatascience.com/everything-you-need-to-know-a...