游戏智能中的AI——从多角色博弈到平行博弈

doi:10.11959/j.issn.2096-6652.202023

Abstract

Abstract:

The domestic and overseas research progress of artificial intelligence technology in the field of games was summarized and the significance of the research progress in the field of games for real life was analyzed.In view of the gap between simulation and reality in model based methods and the lack of generality of the model-based approach in reinforcement learning,the idea and method of parallel game were put forward,and the advance of parallel game in solving the existing problems of single-role game and multi-role game was introduced.The parallel game method will be the cornerstone of the general artificial intelligence.

Key words: game intelligence, multi-role game, parallel game, deep reinforcement learning, artificial intelligence

CLC Number:

TP305

Yu SHEN, Jinpeng HAN, Lingxi LI, et al. AI in game intelligence—from multi-role game to parallel game[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(3): 205-213.

Figures/Tables 5

References 24

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