most citedEfficient Parallel Methods for Deep Reinforcement Learning

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cs.CE2023

Configurable convolutional neural networks for real-time pedestrian-level wind prediction in urban environments

Alfredo Vicente Clemente, Knut Erik Teigen Giljarhus, Luca Oggiano +1

Urbanization has underscored the importance of understanding the pedestrian wind environment in urban and architectural design contexts. Pedestrian Wind Comfort (PWC) focuses on th…