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Enhancing Pedestrian Route Choice Models Through Maximum-Entropy Deep Inverse Reinforcement Learning with Individual Covariates (MEDIRL-IC)

IEEE Trans Intell Transp Syst(2024)

Cited 0|Views6
Key words
Pedestrians,Analytical models,Decision making,Predictive models,Reinforcement learning,Biological system modeling,Trajectory,Deep inverse reinforcement learning,pedestrian route choice,causal discovery,cell phone signaling
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