Thanks. How does this play out when you're training against a single self played game then? Does it play a whole game with its current networks and then once it

Thanks. How does this play out when you're training against a single self played game then? Does it play a whole game with its current networks and then once it knows the winner it goes over each move after to train itself? > and a policy network which estimates the probability that each move should be played. So for this network, the input is the before and after board state and the output is the probability that this move should be played?