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Learning in discrete-time average-cost mean-field games
(IEEE, 2021)
In this paper, we consider learning of discrete-time mean-field games under an average cost criterion. We propose a Q-iteration algorithm via Banach Fixed Point Theorem to compute the mean-field equilibrium when the model ...
Regularized stochastic team problems
(Elsevier, 2021-03)
In this paper, we introduce regularized stochastic team problems. Under mild assumptions, we prove that there exists a unique fixed point of the best response operator, where this unique fixed point is the optimal regularized ...
Large deviations principle for discrete-time mean-field games
(Springer, 2021-11)
In this paper, we establish a large deviations principle (LDP) for interacting particle systems that arise from state and action dynamics of discrete-time mean-field games under the equilibrium policy of the infinite-population ...
A semi-discrete numerical method for convolution-type unidirectional wave equations
(Elsevier, 2021-05-15)
Numerical approximation of a general class of nonlinear unidirectional wave equations with a convolution-type nonlocality in space is considered. A semi-discrete numerical method based on both a uniform space discretization ...
On the convergence of the nonlocal nonlinear model to the classical elasticity equation
(Elsevier, 2021-12)
We consider a general class of convolution-type nonlocal wave equations modeling bidirectional propagation of nonlinear waves in a continuous medium. In the limit of vanishing nonlocality we study the behavior of solutions ...
Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC
(IOP Publishing, 2021-05)
The performance is presented of the reconstruction and identification algorithms for electrons and photons with the CMS experiment at the LHC. The reported results are based on proton-proton collision data collected at a ...
Computational screening of MOFs for CO2 capture
(Springer, 2021-03-30)
The capture of CO2 (carbon dioxide) is an urgent environmental issue due to global warming. Adsorption-based CO2 capture using a new family of porous materials, metal-organic frameworks (MOFs), has been considered as a ...
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