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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Bar Light

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2 papers indexed here

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Preprint Sep 2026

Computing Stationary Equilibria in Measure-Dependent Markov Systems

This paper shows that the original stationary-equilibrium problem can be reduced to a finite-dimensional self-consistency equation, separating steady-state analysis of the underlying Markov system from equilibrium computation, and uses properties of the resulting self-consistency map to guide the choice among fixed-poi...

Jing Dong, Bar Light, Xin T. Tong · 0 citations
Preprint Aug 2026

Equilibrium in Multi-Agent Reinforcement Learning

Standard solution concepts for stochastic games, such as Markov perfect equilibrium and Markov coarse correlated equilibrium, are computationally difficult, and thus, standard decentralized reinforcement-learning algorithms should not generally be expected to converge to them. In this paper, we study the equilibrium ge...

Maurizio D'Andrea, Bar Light · 0 citations

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