Tsallis FPD generalizes standard fully probabilistic design using Tsallis divergence and proves that a double backwards induction fixed-point iteration converges to an optimal solution.
On convex data-driven inverse optimal control for nonlinear, non- stationary and stochastic systems.arXiv preprint arXiv:2306.13928, 2023
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Towards Tsallis Fully Probabilistic Design
Tsallis FPD generalizes standard fully probabilistic design using Tsallis divergence and proves that a double backwards induction fixed-point iteration converges to an optimal solution.