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Procedural Location of Roads Using Desire Paths., , , and . CEIG, page 19-24. Eurographics Association, (2019)Emergent behaviors and scalability for multi-agent reinforcement learning-based pedestrian models., , and . Simul. Model. Pract. Theory, (2017)MARL-Ped+Hitmap: Towards Improving Agent-Based Simulations with Distributed Arrays., , , and . ICA3PP Workshops, volume 10049 of Lecture Notes in Computer Science, page 212-225. Springer, (2016)Modeling, Evaluation, and Scale on Artificial Pedestrians: A Literature Review., , , and . ACM Comput. Surv., 50 (5): 72:1-72:35 (2017)Phase Space Data-Driven Simulation of Elastic Materials., , , and . CEIG, page 69-73. Eurographics Association, (2016)Multi-agent Reinforcement Learning for Simulating Pedestrian Navigation., , and . ALA, volume 7113 of Lecture Notes in Computer Science, page 54-69. Springer, (2011)Agent's actions as a classification criteria for the state space in a learning from rewards system.. J. Exp. Theor. Artif. Intell., 20 (4): 269-276 (2008)Strategies for simulating pedestrian navigation with multiple reinforcement learning agents., , and . Auton. Agents Multi Agent Syst., 29 (1): 98-130 (2015)MARL-Ped: A multi-agent reinforcement learning based framework to simulate pedestrian groups., , and . Simul. Model. Pract. Theory, (2014)Emergent Collective Behaviors in a Multi-agent Reinforcement Learning Pedestrian Simulation: A Case Study., , and . MABS, volume 9002 of Lecture Notes in Computer Science, page 228-238. Springer, (2014)