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Found 3 papers, 2 papers with code
Noise-Aware and Equitable Urban Air Traffic Management: An Optimization Approach
Urban air mobility (UAM), a transformative concept for the transport of passengers and cargo, faces several integration challenges in complex urban environments.
Risk-aware Urban Air Mobility Network Design with Overflow Redundancy
In our methodology, we first model how disruptions to a given UAM network might impact on the nominal traffic flow and how this flow might be re-accommodated on an extended network with reserve capacity.
Finite-Sample Analysis of Nonlinear Stochastic Approximation with Applications in Reinforcement Learning
To demonstrate the generality of our theoretical results on Markovian SA, we use it to derive the finite-sample bounds of the popular $Q$-learning with linear function approximation algorithm, under a condition on the behavior policy.
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