AAAI Publications, Sixth Artificial Intelligence and Interactive Digital Entertainment Conference

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Crowd Simulation Via Multi-Agent Reinforcement Learning
Lisa Torrey

Last modified: 2010-10-10

Abstract


Artificial intelligence is frequently used to control virtual characters in movies and games. When these characters appear in crowds, controlling them is called crowd simulation. In this paper, I suggest that crowd simulation could be accomplished by multi-agent reinforcement learning, a method by which groups of agents can learn to act autonomously in their environment. I present a case study that explores the challenges and benefits of this type of approach and encourages the development of learning techniques for AI in entertainment media.

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