A Stochastic Composite Augmented Lagrangian Method For Reinforcement Learning [PDF]
SIAM Journal on Optimization, 2021 In this paper, we consider the linear programming (LP) formulation for deep reinforcement learning. The number of the constraints depends on the size of state and action spaces, which makes the problem intractable in large or continuous environments. The
Yongfeng Li +3 more
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Augmented Lagrangian method for imposing nonlinear multi freedom constraints in static analysis for frames using FEM [PDF]
E3S Web of Conferences, 2021 This paper focuses on the treatment of nonlinear multi freedom constraints using an augmented Lagrangian method in finite element analysis of frames. The process of imposing boundary constraints is developed by changing the assembly stiffness equation to
Bich Quyen Vu Thi +3 more
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Preconditioned augmented Lagrangian method for mean curvature image deblurring
AIMS Mathematics, 2022 Image deblurring models with a mean curvature functional has been widely used to preserve edges and remove the staircase effect in the resulting images. However, the Euler-Lagrange equations of a mean curvature model can be used to solve fourth-order non-
Shahbaz Ahmad +6 more
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QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems [PDF]
ACM Transactions on Mathematical Software, 2021 In this article, we aim to solve high-dimensional convex quadratic programming (QP) problems with a large number of quadratic terms, linear equality, and inequality constraints.
Ling Liang +3 more
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A Filter-SQP strategy for training Support Vector Machine models
REMAT, 2023 This paper introduces a filtering strategy for addressing optimization problems arising in binary Support Vector Machine classification. The training optimization problem aims to solve the dual formulation which involves a quadratic objective function ...
Tiago Lino Bello +3 more
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Online Spatiotemporally Constrained Reconstruction for Real-Time Interactive MRI. [PDF]
Magn Reson MedABSTRACT Purpose To develop a low‐latency dynamic MRI reconstruction that provides better spatial and temporal fidelity than contemporary online reconstruction, for localization. Methods We utilize online spatiotemporally constrained reconstruction (STCR) using a computationally efficient augmented Lagrangian solution and a limited number of iterations
Le DH +4 more
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A Decomposition Augmented Lagrangian Method for Low-Rank Semidefinite Programming [PDF]
SIAM Journal on Optimization, 2021 We develop a decomposition method based on the augmented Lagrangian framework to solve a broad family of semidefinite programming problems, possibly with nonlinear objective functions, nonsmooth regularization, and general linear equality/inequality ...
Yifei Wang +3 more
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SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking
SoftwareX, 2022 We present a new particle tracking algorithm for accurately resolving large deformation and rotational motion fields, which takes advantage of both local and global particle tracking algorithms.
Jin Yang +9 more
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A novel augmented Lagrangian method of multipliers for optimization with general inequality constraints [PDF]
Mathematics of Computation, 2021 We introduce a twice differentiable augmented Lagrangian for nonlinear optimization with general inequality constraints and show that a strict local minimizer of the original problem is an approximate strict local solution of the augmented Lagrangian.
Xinwei Liu +3 more
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Augmented Lagrangian methods for degenerate Hamilton–Jacobi equations [PDF]
Calculus of Variations and Partial Differential Equations, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ennaji, Hamza +2 more
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