forum users,
I have an idea to create an AI for poker. As far as I understand, classical deep learning methods cannot solve this problem. Then I started studying reinforcement learning, but I don’t know if poker fits the Markov decision-making process, because the reward is not defined, and past states influence the current decision (let’s say a call-raise).
So please advise me how I can implement this.