Cover Image

Optimal and Order-optimal Gated Priority-based Greedy Policies for Two-layer Multi-item Order Fulfillment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xi, Chen, Yuze, Chen, Ziyi, Zhou, Yuan
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Optimization and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaSwitch: An Adaptive Switching Meta-Algorithm for Learning-Augmented Bounded-Influence Problems
by: Chen, Xi, et al.
Published: (2025)

Achieve Performatively Optimal Policy for Performative Reinforcement Learning
by: Chen, Ziyi, et al.
Published: (2025)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)

A Minimax-MDP Framework with Future-imposed Conditions for Learning-augmented Problems
by: Chen, Xin, et al.
Published: (2025)

Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
by: Chen, Lisha, et al.
Published: (2025)

More Optimal Fractional-Order Stochastic Gradient Descent for Non-Convex Optimization Problems
by: Partohaghighi, Mohammad, et al.
Published: (2025)

Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity
by: Zhou, Qihao, et al.
Published: (2024)

Fully First-Order Algorithms for Online Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)

Greedy Low-Rank Gradient Compression for Distributed Learning with Convergence Guarantees
by: Chen, Chuyan, et al.
Published: (2025)

Near-optimal and Efficient First-Order Algorithm for Multi-Task Learning with Shared Linear Representation
by: Ding, Shihong, et al.
Published: (2026)

VAMO: Efficient Zeroth-Order Variance Reduction for SGD with Faster Convergence
by: Chen, Jiahe, et al.
Published: (2025)

A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy
by: Lyu, Jiameng, et al.
Published: (2024)

Online Order Fulfillment with Replenishment
by: Ling, Zi, et al.
Published: (2026)

Distributionally Robust Multi-Objective Optimization
by: Yang, Yufeng, et al.
Published: (2026)

Perseus: A Simple and Optimal High-Order Method for Variational Inequalities
by: Lin, Tianyi, et al.
Published: (2022)

FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
by: Chen, Cheng, et al.
Published: (2020)

Policy Gradient with Second Order Momentum
by: Sun, Tianyu
Published: (2025)

Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems
by: Partohaghighi, Mohammad, et al.
Published: (2025)

An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization
by: Kornowski, Guy, et al.
Published: (2023)

Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation
by: Han, Yuze, et al.
Published: (2024)

Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
by: Hu, Yifan, et al.
Published: (2020)

Sequential Bayesian Optimal Experimental Design in Infinite Dimensions via Policy Gradient Reinforcement Learning
by: Shen, Kaichen, et al.
Published: (2026)

A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack Constraints
by: Chen, Xi, et al.
Published: (2024)

Better LMO-based Momentum Methods with Second-Order Information
by: Khirirat, Sarit, et al.
Published: (2025)

Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
by: Masiha, Saeed, et al.
Published: (2024)

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(ε^{-4/7})$ Second-Order Oracle Complexity
by: Chen, Lesi, et al.
Published: (2025)

Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity
by: de Vazelhes, William, et al.
Published: (2022)

On Adaptivity in Zeroth-Order Optimization
by: Dbouk, Hassan, et al.
Published: (2026)

Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
by: Sahinoglu, Emre, et al.
Published: (2024)

Multiscale Supervised Unbalanced Optimal Transport Flow Matching
by: Peng, Qiangwei, et al.
Published: (2026)

On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
by: Ma, Shaocong, et al.
Published: (2025)

Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
by: Chen, Ziyi, et al.
Published: (2025)

Certified Multi-Fidelity Zeroth-Order Optimization
by: de Montbrun, Étienne, et al.
Published: (2023)

Epsilon-Greedy Thompson Sampling to Bayesian Optimization
by: Do, Bach, et al.
Published: (2024)

SOREL: A Stochastic Algorithm for Spectral Risks Minimization
by: Ge, Yuze, et al.
Published: (2024)

Learning to optimize: A tutorial for continuous and mixed-integer optimization
by: Chen, Xiaohan, et al.
Published: (2024)

Online Linear Programming with Replenishment
by: Chen, Yuze, et al.
Published: (2026)

Decoupled Functional Central Limit Theorems for Two-Time-Scale Stochastic Approximation
by: Han, Yuze, et al.
Published: (2024)

Natural Policy Gradient as Doubly Smoothed Policy Iteration: A Bellman-Operator Framework
by: Nanda, Phalguni, et al.
Published: (2026)

Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
by: Qiu, Shuang, et al.
Published: (2024)