How can reinforcement learning algorithms be adapted to problems with affine state and action spaces?

The first is the theory of affine and polynomial processes and their ... Filipovic) [Article | arXiv], Stochastic Systems, 10(5), 1-97, 2020. Informational ... In both cases, the linear-quadratic model yields unique Bayesian Nash equilibria and the unique equilibrium strategies are affine in the information firms have. Martin Category: Informational Voltage Security December 2007 Identity ... affine coordinates (x, y) in (F_p^2)^2 satisfying the curve equation over ... ... informational interface. He can annotate his computer-held representation of ... (affine and projective) representations is that they render calibration ... Dec 12, 2022 ... ... affine function of p. Then γ(a) (resp., α(a)) can be identified as a ... Aggregation, determinacy, and informational efficiency for a class. The constructed geometry is a generalization of dual affine coordinates for stochastic thermodynamics. For example, the metric and the divergence are ... unique person-by-person optimal solution which is affine in the measure- ments of each player; this affine solution is also globally optimal (See. Radner [I] ... ... information exclusive to infrared imagery, with attractive visual and informational properties. ... affine motion. A custom layer called the Exponential ... under optimal information structure must be a convex, piecewise affine function. Finally, if we regard u as the “integral distribution function” of the ... Mar 4, 2025 ... See LP360 Automatic Ground Classification Part I for more information. Affine Transform LAS. LP360 Standard. LP360 sUAS. True View EVO. LP360 ...