arXiv · 2012.06111
An overview of optimal control optimization problems driven by non-convexity measures
Abstract
Recently, literature on dynamic coherent risk measures has broadened the choices for risk-sensitive performance evaluation. A running example includes Cumulative prospect theory and Conditional variance at risk. Most of them can be can be interpreted in general as a non-linear transformation of a given random variable. Non-convexity property has implied a lot of mathematical intricacies and challenges. The paper gives overview on the recent development of dynamic programming optimal control optimization problems driven by non-convex measures.
Explore related subjects
Keep this discovery
Weixin Wang. 2020-12-11. An overview of optimal control optimization problems driven by non-convexity measures. https://arxiv.org/abs/2012.06111
Cite the original work for its findings. Save a collection to share your selection of sources.