Does anyone know the technical details of how to train and AI bot for a game like poker?
I imagine it's just reinforcement learning where the inputs are the actions of the individual players (hold/fold/raise, timing etc) and the statistical probabilities in terms of expected cards. Train a neural net to predict probability of the opponent's hands and act accordingly.
Is it just that the professionals all act similarly enough that the bot can learn based on other players?
I imagine it's just reinforcement learning where the inputs are the actions of the individual players (hold/fold/raise, timing etc) and the statistical probabilities in terms of expected cards. Train a neural net to predict probability of the opponent's hands and act accordingly.
Is it just that the professionals all act similarly enough that the bot can learn based on other players?