AI in Games: Techniques, Challenges and Opportunities
- URL: http://arxiv.org/abs/2111.07631v1
- Date: Mon, 15 Nov 2021 09:35:53 GMT
- Title: AI in Games: Techniques, Challenges and Opportunities
- Authors: Qiyue Yin, Jun Yang, Wancheng Ni, Bin Liang, Kaiqi Huang
- Abstract summary: Various game AI systems (AIs) have been developed such as Libratus, OpenAI Five and AlphaStar, beating professional human players.
In this paper, we survey recent successful game AIs, covering board game AIs, card game AIs, first-person shooting game AIs and real time strategy game AIs.
- Score: 40.86375378643978
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: With breakthrough of AlphaGo, AI in human-computer game has become a very hot
topic attracting researchers all around the world, which usually serves as an
effective standard for testing artificial intelligence. Various game AI systems
(AIs) have been developed such as Libratus, OpenAI Five and AlphaStar, beating
professional human players. In this paper, we survey recent successful game
AIs, covering board game AIs, card game AIs, first-person shooting game AIs and
real time strategy game AIs. Through this survey, we 1) compare the main
difficulties among different kinds of games for the intelligent decision making
field ; 2) illustrate the mainstream frameworks and techniques for developing
professional level AIs; 3) raise the challenges or drawbacks in the current AIs
for intelligent decision making; and 4) try to propose future trends in the
games and intelligent decision making techniques. Finally, we hope this brief
review can provide an introduction for beginners, inspire insights for
researchers in the filed of AI in games.
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