We propose a learning-based methodology to reconstruct private informati...
We propose fully-distributed algorithms for Nash equilibrium seeking in
...
We consider the design of reliable neural network (NN)-based approximati...
The presence of uncertainties in the ride-hailing market complicates the...
We consider potential games with mixed-integer variables, for which we
p...
We investigate both stationary and time-varying, nonmonotone generalized...
A common problem affecting neural network (NN) approximations of model
p...
We consider quadratic, nonmonotone generalized Nash equilibrium problems...
We evaluate the robustness of agents' traffic equilibria in randomized
r...
We propose a two-layer, semi-decentralized algorithm to compute a local
...
We address the problem of assessing the robustness of the equilibria in
...
We consider the problem of controlling a stochastic linear time-invarian...
We present semi-decentralized and distributed algorithms, designed via a...
We consider the charge scheduling coordination of a fleet of plug-in ele...
In this paper, we show the equivalence between a constrained, multi-agen...
We propose a hybrid decision-making framework for safe and efficient
aut...
We adopt an operator-theoretic perspective to study convergence of linea...