Deep Reinforcement Learning (drl) and Graph Neural Networks (gnn) for Transportation Applications
1 faculty research Deep Reinforcement Learning (drl) and Graph Neural Networks (gnn) for Transportation Applications on GradNova.
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Associate Professor, Civil, Environmental, and Geospatial Engineering
Big Traffic Data Analytics Using Machine Learning
Data-Driven Distributionally Robust Optimization (dro) Based Control Models for Connected and Automated Vehicles (cavs)
Deep Reinforcement Learning (drl) and Graph Neural Networks (gnn) for Transportation Applications
Dynamic Network Equilibrium and Optimization
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