most citedA deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2023★ 2 cited

A deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility

Asal Mehditabrizi, Mahdi Samadzad, Sina Sabzekar

Urban air mobility is the new mode of transportation aiming to provide a fast and secure way of travel by utilizing the low-altitude airspace. This goal cannot be achieved without…