BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20260617T075526EDT-5038dDwrRR@132.216.98.100 DTSTAMP:20260617T115526Z DESCRIPTION:Speaker: Roxana Dimitrescu\, Associate Professor\, King's Colle ge London\n\n \n\nAbstract: In this talk\, we present recent results on th e linear programming approach to stopping mean-field games in a general se tting. This relaxed control approach allows to prove existence results und er weak assumptions\, and lends itself well to numerical implementation. W e consider mean-field game problems where the representative agent chooses the optimal time to exit the game\, where the instantaneous reward functi on and the coefficients of the state process may depend on the distributio n of the other agents. Furthermore\, we establish the equivalence between mean-field games equilibria obtained by the linear programming approach an d the ones obtained via other approaches used in the previous literature. We then present a fictious play algorithm to approximate the mean-field ga me population dynamics in the context of the linear programming approach. Finally\, we give an application of the theoretical and numerical contribu tions introduced in the first part of the talk to an entry-exit game in el ectricity markets. The talk is based on several works\, joint with R. Aïd\ , G. Bouveret\, M. Leutscher and P. Tankov.\n\n \n\n \n\nBiography: Roxana Dumitrescu is an associate professor at King's College London\, United Ki ngdom. She is a leading expert in stochastic control and mean-field games\ , with publications in leading journals in the field. She has been recentl y working on optimal stopping mean-field games\, a new trend in the litera ture\, and developed together with several co-authors a new approach to so lve them based on a linear-programming formulation.\n\nPrior to the appoin tment at King's College\, she has been an associate researcher in the Math ematics Department at Humboldt University in Berlin and a member of the re search training group 'Stochastic Analysis with Applications in Finance\, Physics and Biology' (2015-2016). She defended her PhD in Mathematics at U niversity Dauphine\, in Paris (2015). During her PhD studies\, she was a r esearcher in the Financial Mathematics Group at the National French Instit ute for Research in Computer Science and Automatics Control\, INRIA\, Fran ce.\n DTSTART:20221111T180000Z DTEND:20221111T190000Z LOCATION:CA\, ZOOM SUMMARY:Optimal stopping mean-field games: a linear programming formulation and applications to entry-exit games in electricity markets URL:/cim/channels/event/optimal-stopping-mean-field-ga mes-linear-programming-formulation-and-applications-entry-exit-games-35183 2 END:VEVENT END:VCALENDAR