@article{Torrey_2010, title={Crowd Simulation Via Multi-Agent Reinforcement Learning}, volume={6}, url={https://ojs.aaai.org/index.php/AIIDE/article/view/12390}, DOI={10.1609/aiide.v6i1.12390}, abstractNote={ <p> 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. </p> }, number={1}, journal={Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment}, author={Torrey, Lisa}, year={2010}, month={Oct.}, pages={89-94} }