Introduces HS-S (aggregating dynamic threat powers) and Coco-S (fixed points of statewise HS Bellman operator) for stochastic games, proves they coincide for two players but disagree for three, shows uniqueness via extended axioms and topological degree theory, and gives sampling estimators.
Learning zero-sum simultaneous-move markov games using function approximation and correlated equilibrium
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Learning Strategic Value and Cooperation in Multi-Player Stochastic Games through Side Payments
Introduces HS-S (aggregating dynamic threat powers) and Coco-S (fixed points of statewise HS Bellman operator) for stochastic games, proves they coincide for two players but disagree for three, shows uniqueness via extended axioms and topological degree theory, and gives sampling estimators.