Abstract: Differential dynamic programming (DDP) is a popular technique for solving nonlinear optimal control problems with locally quadratic approximations. However, existing DDP methods are not ...
We propose a new method for solving high-dimensional dynamic programming problems and recursive competitive equilibria with a large (but finite) number of heterogeneous agents using deep learning. We ...
Abstract: Reinforcement learning (RL) has roots in dynamic programming and it is called adaptive/approximate dynamic programming (ADP) within the control community. This paper reviews recent ...
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 ...
This primer is tailored for individuals new to macroeconomic policy analysis, including policymakers, economic analysts, and other professionals seeking to deepen their understanding of macroeconomic ...
Python proves popular once again. Discover the best programming languages to learn for high-demand jobs in 2025. Developers who want to push ahead in their profession will want to choose a programming ...
Keʻalohi Wang is a freelance writer from Kailua Kona, Hawaiʻi. She has a background in content creating, social media management, and marketing for small businesses. An English Major from University ...
Sept 2 (Reuters) - Thousands of Oasis fans waited long hours in virtual queues this weekend to get their hands on tickets for the British band's reunion shows next summer, only to find that prices had ...
Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. Regardless of your career choice, you will always need a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results