An online algorithm for zero-sum LQ games with unknown dynamics combines model estimation and surrogate selection to achieve regret bounds on policy convergence.
When does selfishness align with team goals? A structural analysis of equilibrium and optimality
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An Online Learning Approach for Two-Player Zero-Sum Linear Quadratic Games
An online algorithm for zero-sum LQ games with unknown dynamics combines model estimation and surrogate selection to achieve regret bounds on policy convergence.