Preprint
Aug 2026
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.
Xin Guo, M. Talbi, Qin-Xin Yan
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