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Reinforcement learning in a Multi-agent Framework for Pedestrian Simulation
(ProQuest, 2014-10-23)
This thesis proposes a new approach to pedestrian simulation based on machine learning techniques. Specifically, the work proposes the use of reinforcement learning techniques to build a decision-making modulefor pedestrian ...