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Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games.

, , and . IEEE Trans. Automat. Contr., 63 (2): 360-371 (2018)

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Learning in Mean-Field Games., , , and . IEEE Trans. Autom. Control., 59 (3): 629-644 (2014)Convex nondifferentiable stochastic optimization: A local randomized smoothing technique., , and . ACC, page 4875-4880. IEEE, (2010)Data-driven first-order methods for misspecified convex optimization problems: Global convergence and Rate estimates., and . CDC, page 4228-4233. IEEE, (2014)Global Resolution of Chance-Constrained Optimization Problems: Minkowski Functionals and Monotone Inclusions., , , and . CDC, page 6301-6306. IEEE, (2023)On the analysis of reflected gradient and splitting methods for monotone stochastic variational inequality problems., and . CDC, page 4510-4515. IEEE, (2016)Packaging Energy and Reserves Bids through Risk Penalties for Enhanced Reliability in Co-optimized Markets., , , and . HICSS, page 1915-1922. IEEE Computer Society, (2012)Distributed Computation of Equilibria in Misspecified Convex Stochastic Nash Games., , and . IEEE Trans. Automat. Contr., 63 (2): 360-371 (2018)Bifurcation analysis of a heterogeneous mean-field oscillator game model., , , and . CDC/ECC, page 3895-3900. IEEE, (2011)New insights on generalized Nash games with shared constraints: Constrained and variational equilibria., and . CDC, page 151-156. IEEE, (2009)Nash equilibrium problems with congestion costs and shared constraints., , and . CDC, page 4649-4654. IEEE, (2009)