Abstract: Dynamic programming (DP) and reinforcement learning (RL) are effective techniques for maximizing control in uncertain and dynamic systems. In order to ...
This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...
ABSTRACT: To provide quantitative analysis of strategic confrontation game such as cross-border trades like tariff disputes and competitive scenarios like auction bidding, we propose an alternating ...
Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00103.
Mojo is a high-performance programming language initially designed to unify and simplify the development of applications across all layers of the AI stack. It combines the usability and syntax of the ...
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