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A cautionary comment: in the infinite horizon case, the low cost factor has the role of guaranteeing the existence of a finite price. VII we briefly contact the analysis of the sport for a finite horizon. In Sec. IV we derive the evaluation of best responses whereas symmetric Nash equilibria are characterized in Sec. The value perform and the policy weights are updated utilizing a concurrent learning-primarily based least squares strategy to attenuate the instantaneous BEs and the BEs evaluated at preselected factors. It’s shown that underneath a condition milder than PE, uniformly in the end bounded (UUB) convergence of the worth function weights and the coverage weights to their true values may be established. POSTSUBSCRIPT. The following assumption, which on the whole is weaker than the PE assumption, is required for convergence of the concurrent studying-based mostly value perform weight estimates. POSTSUBSCRIPT. The usage of two different sets of estimates to approximate the same set of preferrred weights is motivated by the next stability analysis and the fact that it facilitates an approximation of the BEs that’s affine in the worth function weights, enabling least squares-based adaptation. On this paper our evaluation is restricted to the viewcount. A linear cumulative cost for acceleration can also be one in every of our assumptions in the remainder of the paper.

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