基于强化学习的游戏自动化测试技术

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中图分类号：TP31 文献标志码：A 文章编码：1672-7274（2025）11-0093-03

Game Automation Testing Technology Based on Reinforcement Learning

LIUZhenkai

Shanghai Huanyi Computer SoftwareCo.，Ltd.，Shanghai 2oo235，China）

Abstract： Against the backdrop of the rapid development of the computer gaming industry，personalized games and in-depth interactive experiences havegarnered increasing atention.Today，efectively integrating game optimization technologies has becomea crucial task in game development.This paper focuses on the research of game experience optimization techniques for computer gaming software platforms，briefly outlines the application characteristics of reinforcement learning models in internet environments，and explores the application strategies of automated testing technologies inonline game planning anddesign.The aim is to promotethe gaming industrytoward high-qualityand highlevel development， thereby enhancing the growth speed and standards of China's gaming industry.

Keywords： gaming; experience optimization; technology

强化学习的游戏体验优化技术

Q 值是状态价值，Qlearning算法的思想完全根据valueiteration得到。（剩余4676字）