Sanjari, SinaSaldı, NaciYuksel, Serdar2025-02-232025-02-232024-07-12979-835038265-507431619https://hdl.handle.net/11693/116671Conference Name: 2024 American Control Conference, ACC 2024Date of Conference: 10 July 2024 - 12 July 2024We study a class of continuous-time convex stochastic exchangeable teams with a finite number of decision makers (DMs) as well as their mean-field limits with infinite numbers of DMs. We establish the existence of a globally optimal solution and show that it is Markovian and symmetric (identical) for both the finite DM regime and the infinite one. In particular, for a general class of finite-N exchangeable stochastic teams satisfying a convexity condition, we establish the existence of a globally optimal solution that is symmetric among DMs and Markovian. As the number of DMs drives to infinity (that is for the mean-field limit), we establish the existence of a possibly randomized globally optimal solution and show that it is symmetric among DMs and Markovian.EnglishDecentralized systemsMarkov processesOptimal systemsStochastic systemsContinuous time systemsConference Paper10.23919/ACC60939.2024.10644521