Abstract: Minimizing sum-of-nonconvex functions is the critical respect in decentralized optimization, which is also the focus for machine learning. In this paper, we propose a decentralized conjugate ...
Abstract: Policy gradient algorithms have been shown to converge to the optimal controller in a linear quadratic regulator (LQR) design problem. Calculating policy gradients using the true system such ...
This repository is an implementation of the NeurIPS 2024 paper: IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs. Constrained Nonlinear Programs (NLPs) represent a ...
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