NDLI: Creating Autonomous Adaptive Agents in a Real-Time First-Person Shooter Computer Game

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Creating Autonomous Adaptive Agents in a Real-Time First-Person Shooter Computer Game

Content Provider	IEEE Xplore Digital Library
Author	Di Wang Ah-Hwee Tan
Copyright Year	2009
Abstract	Games are good test-beds to evaluate AI methodologies. In recent years, there has been a vast amount of research dealing with real-time computer games other than the traditional board games or card games. This paper illustrates how we create agents by employing FALCON, a self-organizing neural network that performs reinforcement learning, to play a well-known first-person shooter computer game called Unreal Tournament. Rewards used for learning are either obtained from the game environment or estimated using the temporal difference learning scheme. In this way, the agents are able to acquire proper strategies and discover the effectiveness of different weapons without any guidance or intervention. The experimental results show that our agents learn effectively and appropriately from scratch while playing the game in real-time. Moreover, with the previously learned knowledge retained, our agent is able to adapt to a different opponent in a different map within a relatively short period of time.
Starting Page	123
Ending Page	138
Page Count	16
File Size	2035668
File Format	PDF
ISSN	1943068X
Volume Number	7
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Games Vectors Subspace constraints Computers Weapons Real-time systems Learning (artificial intelligence) unreal tournament Adaptive resonance theory operations real-time computer game reinforcement learning temporal difference learning
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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