Copertina

Non-Stationary Inventory Control with Lead Times

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Amiri, Nele H., Sinclair, Sean R., Udenio, Maximiliano
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optimization and Control Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Offline-Online Reinforcement Learning for Linear Mixture MDPs
di: Zhang, Zhongjun, et al.
Pubblicazione: (2026)

The Data-Driven Censored Newsvendor Problem
di: Hssaine, Chamsi, et al.
Pubblicazione: (2024)

Online Resource Allocation with Non-Stationary Customers
di: Zhang, Xiaoyue, et al.
Pubblicazione: (2024)

Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning
di: Wan, Jia, et al.
Pubblicazione: (2024)

Online Non-Stationary Stochastic Quasar-Convex Optimization
di: Pun, Yuen-Man, et al.
Pubblicazione: (2024)

In-Context Learning for Data-Driven Censored Inventory Control
di: Mukherjee, Sohom, et al.
Pubblicazione: (2026)

A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
di: Meng, Qing-xin, et al.
Pubblicazione: (2025)

Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
di: Böttcher, Lucas, et al.
Pubblicazione: (2022)

Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
di: Stranieri, Francesco, et al.
Pubblicazione: (2025)

The Computational Complexity of Finding Stationary Points in Non-Convex Optimization
di: Hollender, Alexandros, et al.
Pubblicazione: (2023)

Smooth Non-Stationary Bandits
di: Jia, Su, et al.
Pubblicazione: (2023)

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks
di: Dai, Yan, et al.
Pubblicazione: (2024)

Structure-Informed Deep Reinforcement Learning for Inventory Management
di: Maggiar, Alvaro, et al.
Pubblicazione: (2025)

On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization
di: Cao, Jincheng, et al.
Pubblicazione: (2025)

Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization
di: Hihat, Massil, et al.
Pubblicazione: (2023)

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

Optimistic Online Non-stochastic Control via FTRL
di: Mhaisen, Naram, et al.
Pubblicazione: (2024)

Non-Stationary Online Resource Allocation: Learning from a Single Sample
di: Feng, Yiding, et al.
Pubblicazione: (2026)

From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
di: Pedramfar, Mohammad, et al.
Pubblicazione: (2024)

$O(1/k)$ Finite-Time Bound for Non-Linear Two-Time-Scale Stochastic Approximation
di: Chandak, Siddharth
Pubblicazione: (2025)

General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
di: Lai, Kuo-Wei, et al.
Pubblicazione: (2023)

End-to-End Learning Framework for Solving Non-Markovian Optimal Control
di: Zhang, Xiaole, et al.
Pubblicazione: (2025)

Online Fair Allocation of Perishable Resources
di: Banerjee, Siddhartha, et al.
Pubblicazione: (2024)

Mutual Information Optimal Control of Discrete-Time Linear Systems
di: Enami, Shoju, et al.
Pubblicazione: (2025)

SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
di: Abdukhakimov, Farshed, et al.
Pubblicazione: (2023)

Reinforcement Learning for a Discrete-Time Linear-Quadratic Control Problem with an Application
di: Li, Lucky
Pubblicazione: (2024)

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
di: Kovalev, Dmitry, et al.
Pubblicazione: (2024)

Stochastic Optimization of Inventory at Large-scale Supply Chains
di: Jin, Zhaoyang Larry, et al.
Pubblicazione: (2025)

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Non-Penalty Approach
di: Feng, Lechen, et al.
Pubblicazione: (2025)

Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
di: Hu, Jie, et al.
Pubblicazione: (2024)

A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
di: Zeng, Sihan, et al.
Pubblicazione: (2021)

Continuous Q-Score Matching: Diffusion Guided Reinforcement Learning for Continuous-Time Control
di: Hua, Chengxiu, et al.
Pubblicazione: (2025)

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
di: Magnino, Lorenzo, et al.
Pubblicazione: (2025)

Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion
di: Cutkosky, Ashok, et al.
Pubblicazione: (2023)

Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
di: Armacki, Aleksandar, et al.
Pubblicazione: (2026)

Random Scaling and Momentum for Non-smooth Non-convex Optimization
di: Zhang, Qinzi, et al.
Pubblicazione: (2024)

Online Non-convex Optimization with Long-term Non-convex Constraints
di: Pan, Shijie, et al.
Pubblicazione: (2023)

Optimizing Inventory Routing: A Decision-Focused Learning Approach using Neural Networks
di: Islam, MD Shafikul, et al.
Pubblicazione: (2023)

Changing the Kernel During Training Leads to Double Descent in Kernel Regression
di: Allerbo, Oskar
Pubblicazione: (2023)

Projection-Free Functional Constrained Optimization for Risk Aversion and Sparsity Control
di: Cheng, Yi, et al.
Pubblicazione: (2022)