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Preprint Sep 2026

Computing Stationary Equilibria in Measure-Dependent Markov Systems

Many stochastic systems in operations and economics exhibit feedback between their long-run state distribution and the transition law governing their dynamics. In this paper, we develop a computational framework for stationary equilibria in such measure-dependent Markov systems when this feedback operates through a fin...

Jing Dong, Bar Light, Xin T. Tong · 0 citations
#artificial intelligence Preprint Sep 2026

Rare Event Estimation via Iterative Unalignment

As agents are deployed with increased autonomy, even extremely rare events along their stochastic output trajectories can occur and prove catastrophic. Safe deployment therefore does not depend on whether these events can occur, but on how often they might. We study the problem of estimating the probability of rare eve...

Han-Ming Yang, Daksh Mittal, Jing Dong et al. · 0 citations

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