Ensemble Decision Making in Real-Time Games

被引：0
|
作者：
Rodgers, Philip [1 ]
Levine, John [1 ]
Anderson, Damien [1 ]
机构：
[1] Univ Strathclyde, Comp & Informat Sci, Glasgow, Lanark, Scotland
来源：
PROCEEDINGS OF THE 2018 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG'18) | 2018年
关键词：
ensemble; mcts; pac-man; real-time; decision; WATSON;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes an Ensemble Agent for the classic arcade game Ms. Pac-Man. Our approach decomposes the problem into sub-goals. An expert agent is created for each sub-goal, with all experts reporting to a central arbiter. Our Ensemble Agent has achieved the AI world record for the arcade version of Ms. Pac-Man with a score of 162,280. For comparison, a MCTS-based monolithic agent was also created, based on the same accurate forward model that the Ensemble Agent uses, reaching a score of 115,180.
引用
收藏
页码：197 / 204
页数：8
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