The invention is applicable to the technical field of computers, and provides a collaborative strategy generation method for a multi-
player game, which comprises the following steps: distributing a role customization scheme for an initial player based on a player role generalization model; distributing a game session for the initial player based on the role customization scheme and the role participation mode, and marking the initial player as a
game player; acquiring game behavior data of each
game player, and analyzing the game behavior data to obtain a cooperation mode of the game players; dynamically adjusting
game element attribute parameters according to the role customization scheme, the game behavior data and the cooperation mode of the
game player; inputting the real-time game behavior data and the
game element attribute parameters into a pre-trained
deep learning model to generate collaborative strategy suggestions; and providing the
collaboration strategy suggestions to the corresponding game players, and dynamically adjusting
resource allocation of each game player according to the
collaboration strategy suggestions. According to the method, the ability of the multi-
player game in the aspects of deep strategy
collaboration and personalized game experience can be improved.