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Distinguished Speaker: Simulation and HPC for Mixed-Autonomy Mobility
AI/Machine Learning/Deep Learning
DescriptionHow will self-driving cars change urban mobility? This talk highlights contributions in machine learning, simulation, and HPC critical for enabling mixed-autonomy mobility, the gradual and complex integration of automated vehicles into the existing transportation system. The talk focuses on a recent enabling study which quantifies the potential impact of a small fraction of automated vehicles on low-level traffic flow dynamics such as traffic congestion, using novel techniques in model-agnostic deep reinforcement learning.