13 citations · 23 across the 24 of their papers we have counts for
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Stochastic generalized Nash equilibrium seeking under partial-decision information
Barbara Franci, Sergio Grammatico
We consider for the first time a stochastic generalized Nash equilibrium problem, i.e., with expected-value cost functions and joint feasibility constraints, under partial-decision…
Training Generative Adversarial Networks via stochastic Nash games
Barbara Franci, Sergio Grammatico
Generative adversarial networks (GANs) are a class of generative models with two antagonistic neural networks: a generator and a discriminator. These two neural networks compete ag…
A game-theoretic approach for Generative Adversarial Networks
Barbara Franci, Sergio Grammatico
Generative adversarial networks (GANs) are a class of generative models, known for producing accurate samples. The key feature of GANs is that there are two antagonistic neural net…
Distributed projected-reflected-gradient algorithms for stochastic generalized Nash equilibrium problems
Barbara Franci, Sergio Grammatico
We consider the stochastic generalized Nash equilibrium problem (SGNEP) with joint feasibility constraints and expected-value cost functions. We propose a distributed stochastic pr…
Stochastic generalized Nash equilibrium seeking in merely monotone games
Barbara Franci, Sergio Grammatico
We solve the stochastic generalized Nash equilibrium (SGNE) problem in merely monotone games with expected value cost functions. Specifically, we present the first distributed SGNE…