In a Markov decision process approach, a network can be trained to select sequences of low-level actions to achieve an outcome.

“And I guess a Markov decision process architecture where, you know, you give it a bunch of these low level actions and you train a network just to maximize the order in which these low level actions are executed in order to get an outcome.”