M. Talbi

Finite-player Optimal Stopping Games: Randomization, $\alpha$-potentiality, and Learning

This work introduces an independently randomized formulation in which each stopping rule is represented by an adapted, nondecreasing cumulative stopping process, and identifies an exact-potential subclass with a closed-form threshold equilibrium.