Model training method and object control method and device based on interactive application

Abstract

The invention discloses a model training method applied to the field of artificial intelligence. The method comprises the steps: acquiring first state information corresponding to a first object and second state information corresponding to a second object; based on the first state information, obtaining first action information through a first to-be-trained battle network model; acquiring secondaction information through a second to-be-trained battle network model based on the second state information; based on the first state information, the second state information, the first action information and the second action information, obtaining a value expectation through a discrimination network model; and updating the model parameters of the first to-be-trained battle network model according to the value expectation to obtain a first battle network model. The invention further discloses an object control method and device based on the interactive application. According to the invention, cooperation and cooperation among a plurality of non-player characters can be realized, the operation difference between the non-player characters and a real player is reduced, and the fighting level of the non-player characters and the real player is improved.

Description

technical field [0001] The present application relates to the field of artificial intelligence, in particular to a model training method, an object control method and device based on an interactive application. Background technique [0002] Turn-based combat is a combat mode in the game, that is, multiple combat characters belonging to the same party activate their skills in turn, and the two combatants take turns to attack. If the current combat character of one of the parties dies, it will be the turn of another combat character of the defeated party to fight in the next round, and so on, until all the combat characters of one party are killed, the turn-based battle will not end. [0003] Currently, one party is a real player in a turn-based battle, while the other party can be a non-player character (Non-PlayerCharacter, NPC). NPC mainly launches an attack by establishing a decision tree. The decision tree can establish a tree structure by selecting relevant features, an...

AI Technical Summary

Problems solved by technology

[0004] However, for the method of building a decision tree, due to the small amount of sample data, the action strategy that NPC can produce is relatively simple, and often lacks cooperation and cooperation. Improve the level of NPC and real players in the process of fighting

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