ODE-based Learning to Optimize
Fuente:
arXiv
Guardado en:
| Autores principales: | Xie, Zhonglin, Yin, Wotao, Wen, Zaiwen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
por: Ke, Zhifa, et al.
Publicado: (2024)
por: Ke, Zhifa, et al.
Publicado: (2024)
Accelerating Optimization via Differentiable Stopping Time
por: Xie, Zhonglin, et al.
Publicado: (2025)
por: Xie, Zhonglin, et al.
Publicado: (2025)
CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean
por: Long, Wentao, et al.
Publicado: (2026)
por: Long, Wentao, et al.
Publicado: (2026)
Constructing Industrial-Scale Optimization Modeling Benchmark
por: Li, Zhong, et al.
Publicado: (2026)
por: Li, Zhong, et al.
Publicado: (2026)
Solving General Natural-Language-Description Optimization Problems with Large Language Models
por: Zhang, Jihai, et al.
Publicado: (2024)
por: Zhang, Jihai, et al.
Publicado: (2024)
LMask: Learn to Solve Constrained Routing Problems with Lazy Masking
por: Li, Tianyou, et al.
Publicado: (2025)
por: Li, Tianyou, et al.
Publicado: (2025)
Optimization Learning
por: Van Hentenryck, Pascal
Publicado: (2025)
por: Van Hentenryck, Pascal
Publicado: (2025)
Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
por: Bai, Ningwei, et al.
Publicado: (2025)
por: Bai, Ningwei, et al.
Publicado: (2025)
Efficient Algorithms for Sum-of-Minimum Optimization
por: Ding, Lisang, et al.
Publicado: (2024)
por: Ding, Lisang, et al.
Publicado: (2024)
Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
por: Xie, Zhuojun, et al.
Publicado: (2025)
por: Xie, Zhuojun, et al.
Publicado: (2025)
Learning to Solve the Quadratic Assignment Problem with Warm-Started MCMC Finetuning
por: Pan, Yicheng, et al.
Publicado: (2026)
por: Pan, Yicheng, et al.
Publicado: (2026)
A Learning Method with Gap-Aware Generation for Heterogeneous DAG Scheduling
por: Zhou, Ruisong, et al.
Publicado: (2026)
por: Zhou, Ruisong, et al.
Publicado: (2026)
A Method to Improve the Performance of Reinforcement Learning Based on the Y Operator for a Class of Stochastic Differential Equation-Based Child-Mother Systems
por: Yin, Cheng, et al.
Publicado: (2023)
por: Yin, Cheng, et al.
Publicado: (2023)
Accelerated Natural Gradient Method for Parametric Manifold Optimization
por: Li, Chenyi, et al.
Publicado: (2025)
por: Li, Chenyi, et al.
Publicado: (2025)
BenLOC: A Benchmark for Learning to Configure MIP Optimizers
por: Li, Hongpei, et al.
Publicado: (2025)
por: Li, Hongpei, et al.
Publicado: (2025)
An Augmented Lagrangian Value Function Method for Lower-level Constrained Stochastic Bilevel Optimization
por: Nie, Hantao, et al.
Publicado: (2025)
por: Nie, Hantao, et al.
Publicado: (2025)
Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
por: Liu, Jiaxin, et al.
Publicado: (2026)
por: Liu, Jiaxin, et al.
Publicado: (2026)
IoT-based Fresh Produce Supply Chain Under Uncertainty: An Adaptive Optimization Framework
por: Seth, Chirag, et al.
Publicado: (2025)
por: Seth, Chirag, et al.
Publicado: (2025)
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares
por: Peng, Liangzu, et al.
Publicado: (2024)
por: Peng, Liangzu, et al.
Publicado: (2024)
The Error in Multivariate Linear Extrapolation with Applications to Derivative-Free Optimization
por: Cao, Liyuan, et al.
Publicado: (2023)
por: Cao, Liyuan, et al.
Publicado: (2023)
Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs
por: Sun, Kaizhao, et al.
Publicado: (2021)
por: Sun, Kaizhao, et al.
Publicado: (2021)
Learning to optimize: A tutorial for continuous and mixed-integer optimization
por: Chen, Xiaohan, et al.
Publicado: (2024)
por: Chen, Xiaohan, et al.
Publicado: (2024)
OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning
por: Ding, Zezhen, et al.
Publicado: (2025)
por: Ding, Zezhen, et al.
Publicado: (2025)
Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment
por: Taghavi, Mazyar, et al.
Publicado: (2025)
por: Taghavi, Mazyar, et al.
Publicado: (2025)
Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise Emissions
por: de Frutos, Martín, et al.
Publicado: (2024)
por: de Frutos, Martín, et al.
Publicado: (2024)
A Beam Search Based Parallel Algorithm for the Two-Dimensional Strip Packing Problem
por: Wen, Yajie, et al.
Publicado: (2025)
por: Wen, Yajie, et al.
Publicado: (2025)
A Block-Based Heuristic Algorithm for the Three-Dimensional Nuclear Waste Packing Problem
por: Wen, Yajie, et al.
Publicado: (2025)
por: Wen, Yajie, et al.
Publicado: (2025)
Compact Optimality Verification for Optimization Proxies
por: Chen, Wenbo, et al.
Publicado: (2024)
por: Chen, Wenbo, et al.
Publicado: (2024)
Complexity Bounds for Smooth Multiobjective Optimization
por: Sampaio, Phillipe R.
Publicado: (2025)
por: Sampaio, Phillipe R.
Publicado: (2025)
Transformer-based Model Predictive Control: Trajectory Optimization via Sequence Modeling
por: Celestini, Davide, et al.
Publicado: (2024)
por: Celestini, Davide, et al.
Publicado: (2024)
Magazine Supply Optimization: a Case-study
por: Nguyen, Duong, et al.
Publicado: (2024)
por: Nguyen, Duong, et al.
Publicado: (2024)
Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control
por: Zhao, Yue, et al.
Publicado: (2022)
por: Zhao, Yue, et al.
Publicado: (2022)
An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization
por: Deng, Zhanwang, et al.
Publicado: (2023)
por: Deng, Zhanwang, et al.
Publicado: (2023)
WANCO: Weak Adversarial Networks for Constrained Optimization problems
por: Bao, Gang, et al.
Publicado: (2024)
por: Bao, Gang, et al.
Publicado: (2024)
AI4OPT: AI Institute for Advances in Optimization
por: Van Hentenryck, Pascal, et al.
Publicado: (2023)
por: Van Hentenryck, Pascal, et al.
Publicado: (2023)
Trilevel and Multilevel Optimization using Monotone Operator Theory
por: Shafiei, Allahkaram, et al.
Publicado: (2021)
por: Shafiei, Allahkaram, et al.
Publicado: (2021)
A Clustering-Based Variable Ordering Framework for Relaxed Decision Diagrams for Maximum Weighted Independent Set Problem
por: Nafar, Mohsen, et al.
Publicado: (2025)
por: Nafar, Mohsen, et al.
Publicado: (2025)
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
por: Wu, Mou, et al.
Publicado: (2024)
por: Wu, Mou, et al.
Publicado: (2024)
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
por: Li, Wenhao, et al.
Publicado: (2025)
por: Li, Wenhao, et al.
Publicado: (2025)
Exploiting Edited Large Language Models as General Scientific Optimizers
por: Lv, Qitan, et al.
Publicado: (2025)
por: Lv, Qitan, et al.
Publicado: (2025)
Ejemplares similares
-
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
por: Ke, Zhifa, et al.
Publicado: (2024) -
Accelerating Optimization via Differentiable Stopping Time
por: Xie, Zhonglin, et al.
Publicado: (2025) -
CAM-Bench: A Benchmark for Computational and Applied Mathematics in Lean
por: Long, Wentao, et al.
Publicado: (2026) -
Constructing Industrial-Scale Optimization Modeling Benchmark
por: Li, Zhong, et al.
Publicado: (2026) -
Solving General Natural-Language-Description Optimization Problems with Large Language Models
por: Zhang, Jihai, et al.
Publicado: (2024)