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We are attempting to build an AI that manages to play the cardgame Wizard. So far er have a working network (based on the YOLO object-detection) that is abled to detect which cards are played. When asked it returns the color and rank of the cards on the table.

But now when starting to build an agent for the actual training I just cant figure out how to represent the states for this game.

In each round, each player gets the amount of cards represented by the round(one card in round one, two in round two and so on). Based on that the players estimate how many tricks they will win in this round. With ending the round the players calculate their points w.r.t their estimation.

So the agent have to estimate its future tricks and have to play depending on that strategy. So how do I encode that into a form that a neural network can work with?

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