Abstract: Differential Dynamic Programming (DDP) is an efficient tool for non-linear optimal problems. And DDP shows a characteristic of fast convergence. However, the traditional DDP cannot solve the ...
Abstract: This article proposes two decentralized multiagent optimal control methods that combine the computational efficiency and scalability of differential dynamic programming (DDP) and the ...
FEMFlow is a set of solver primitives and UI elements that enable to quick creation of physics-based simulations for the purposes of doing machine learning. The idea here is to limit the requirements ...
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