Cover Image

An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Harsha, Pavithra, Subramanian, Shivaram, Koc, Ali, Ramakrishna, Mahesh, Quanz, Brian, Shah, Dhruv, Narayanaswami, Chandra
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deep Policy Iteration with Integer Programming for Inventory Management
by: Harsha, Pavithra, et al.
Published: (2021)

A Heuristic Algorithm Based on Beam Search and Iterated Local Search for the Maritime Inventory Routing Problem
by: Sanghikian, Nathalie, et al.
Published: (2025)

Temporal Robustness in Discrete Time Linear Dynamical Systems
by: Metya, Nilava, et al.
Published: (2025)

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

Inventory problems and the parametric measure $m_λ$
by: Georgescu, Irina
Published: (2024)

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

LinSATNet: The Positive Linear Satisfiability Neural Networks
by: Wang, Runzhong, et al.
Published: (2024)

Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
by: Bai, Ningwei, et al.
Published: (2025)

WARP: A Benchmark for Primal-Dual Warm-Starting of Interior-Point Solvers
by: Suri, Dhruv, et al.
Published: (2026)

Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by: Jiang, Jinyang, et al.
Published: (2025)

Robust personalized pricing under uncertainty of purchase probabilities
by: Ikeda, Shunnosuke, et al.
Published: (2024)

A Deep Q-Network Based on Radial Basis Functions for Multi-Echelon Inventory Management
by: Cheng, Liqiang, et al.
Published: (2024)

On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
by: de Oliveira, Arthur Castello Branco, et al.
Published: (2025)

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

Distributionally Robust Free Energy Principle for Decision-Making
by: Shafiei, Allahkaram, et al.
Published: (2025)

A Robust Algorithm for Non-IID Machine Learning Problems with Convergence Analysis
by: Xu, Qing, et al.
Published: (2025)

Contextual Distributionally Robust Optimization with Causal and Continuous Structure: An Interpretable and Tractable Approach
by: Zhang, Fenglin, et al.
Published: (2026)

Optimal Transportation by Orthogonal Coupling Dynamics
by: Sadr, Mohsen, et al.
Published: (2024)

Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet
by: Suilen, Marnix, et al.
Published: (2024)

Distributionally Robust Control with End-to-End Statistically Guaranteed Metric Learning
by: Wu, Jingyi, et al.
Published: (2025)

Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
by: Kara, Ali Devran, et al.
Published: (2023)

Nonlinear Control Allocation: A Learning Based Approach
by: Khan, Hafiz Zeeshan Iqbal, et al.
Published: (2022)

A Constraint Programming Approach for n-Day Lookahead Playoff Clinching in the NHL
by: Rosenberg, Gili, et al.
Published: (2026)

A Dual Certificate Approach to Sparsity in Infinite-Width Shallow Neural Networks
by: Del Grande, Leonardo, et al.
Published: (2026)

On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes
by: Hau, Jia Lin, et al.
Published: (2023)

A Context-Free Smart Grid Model Using Complex System Approach
by: Amor, Soufian Ben, et al.
Published: (2025)

Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Technique
by: Kiruluta, Andrew, et al.
Published: (2024)

Building Interval Type-2 Fuzzy Membership Function: A Deck of Cards based Co-constructive Approach
by: Dutta, Bapi, et al.
Published: (2025)

Planning a Community Approach to Diabetes Care in Low- and Middle-Income Countries Using Optimization
by: Adams, Katherine B., et al.
Published: (2023)

Greedy Restart Schedules: A Baseline for Dynamic Algorithm Selection on Numerical Black-box Optimization Problems
by: Schäpermeier, Lennart
Published: (2025)

Resource-constrained Project Scheduling with Time-of-Use Energy Tariffs and Machine States: A Logic-based Benders Decomposition Approach
by: Juvigny, Corentin, et al.
Published: (2026)

Towards Robust Spacecraft Trajectory Optimization via Transformers
by: Takubo, Yuji, et al.
Published: (2024)

Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming
by: Bertsekas, Dimitri P.
Published: (2024)

Adaptive Primal-Dual Method for Safe Reinforcement Learning
by: Chen, Weiqin, et al.
Published: (2024)

Blending Data-Driven Priors in Dynamic Games
by: Lidard, Justin, et al.
Published: (2024)

Differentiable Distributionally Robust Optimization Layers
by: Ma, Xutao, et al.
Published: (2024)

Robust Control with Gradient Uncertainty
by: Qi, Qian
Published: (2025)

Safe Large-Scale Robust Nonlinear MPC in Milliseconds via Reachability-Constrained System Level Synthesis on the GPU
by: Fang, Jeffrey, et al.
Published: (2026)

A Nonasymptotic Theory of Gain-Dependent Error Dynamics in Behavior Cloning
by: Seo, Junghoon
Published: (2026)

Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization
by: Chen, Yan, et al.
Published: (2024)