Markov Bayes correlated equilibrium extends static BCE to controlled Markov states with far-sighted agents, giving recursive design, LQG Riccati obedience, and logarithmic learning rents.
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Markov Bayes correlated equilibrium extends static BCE to controlled Markov states with far-sighted agents, giving recursive design, LQG Riccati obedience, and logarithmic learning rents.