Based on the problems of some existing methods such as long training time,large action space and low success rate in card games,an improved method for the network architecture and encoded mode of DDQN algorithm is proposed.This method uses binary thought to encode the cards,divides the neural net-work into the main card neural network and the kicker card neural network based on the card splitting meth-od,and adds GRU neural network to process the sequence actions.The experiment shows that the training time of the algorithm is 13％shorter than that of the traditional DQN algorithm,and the average winning rate in the'landlord'and the'farmer'positions is 70％and 75％,higher than that of the DQN algorithm by 28％and 60％,which proves the advantages of the improved algorithm in some of the above indicators.
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