Can the bot adapt its playing style based on opponents’ tendencies?
Table of content
We use a multilayer neural network. This means that we give out parameters in some portions without mixing them, thus obtaining a very ramified decision tree.
Thus, the neural network makes decisions based on the statistical parameters of the opponents and the actions performed in the hand. The tipster analyzes every hand played with the opponent and, if the situation requires it, it can even fold even strong combinations. You may be playing this opponent for the first time, but if another player with a tipster has already played against him, the robot will make decisions taking into account all its past experience of playing against this opponent. So there is no exact strategy, it all depends on the situation and the decision that will be the most winning in a particular situation.