ChemEBrew

It is likely a DNN trained on a supercomputer. So a supervised learning algorithm couls be run in situ much more quickly.

Shouldn't you be eating Stallone's?

Now as I understand in CRM, the AI plays a hand against itself, and it makes a decision during its play. After the result, it reevaluates the acted on decision. Is it possible in one variation of this algorithm to use a Monte Carlo approach to create several hypothetical decisions in a play, choosing one central decision, and then evaluating the distributed hypothetical plays to learn faster? I hope I'm wording this correctly.

Noam: can you say if the bot is using a supervised ANN or is it continuous learning? Or no machine learning at all?

Sounds like Hunapu.