Deep Controlled Learning for Inventory Control
Fuente:
arXiv
Saved in:
| Main Authors: | Temizöz, Tarkan, Imdahl, Christina, Dijkman, Remco, Lamghari-Idrissi, Douniel, van Jaarsveld, Willem |
|---|---|
| Format: | Preprint |
| Published: |
2020
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide
by: Temizöz, Tarkan, et al.
Published: (2024)
by: Temizöz, Tarkan, et al.
Published: (2024)
Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
by: Stranieri, Francesco, et al.
Published: (2025)
by: Stranieri, Francesco, et al.
Published: (2025)
Automated decision-making for dynamic task assignment at scale
by: Bianco, Riccardo Lo, et al.
Published: (2025)
by: Bianco, Riccardo Lo, et al.
Published: (2025)
GymPN: A Library for Decision-Making in Process Management Systems
by: Bianco, Riccardo Lo, et al.
Published: (2025)
by: Bianco, Riccardo Lo, et al.
Published: (2025)
Discovery of Decision Synchronization Patterns from Event Logs
by: Kuijpers, Tijmen, et al.
Published: (2026)
by: Kuijpers, Tijmen, et al.
Published: (2026)
Improving After-sales Service: Deep Reinforcement Learning for Dynamic Time Slot Assignment with Commitments and Customer Preferences
by: Mao, Xiao, et al.
Published: (2025)
by: Mao, Xiao, et al.
Published: (2025)
A Universal Approach to Feature Representation in Dynamic Task Assignment Problems
by: Bianco, Riccardo Lo, et al.
Published: (2025)
by: Bianco, Riccardo Lo, et al.
Published: (2025)
A Rollout-Based Algorithm and Reward Function for Resource Allocation in Business Processes
by: Middelhuis, Jeroen, et al.
Published: (2025)
by: Middelhuis, Jeroen, et al.
Published: (2025)
Projected Inventory Level Policies for Lost Sales Inventory Systems: Asymptotic Optimality in Two Regimes
by: van Jaarsveld, Willem, et al.
Published: (2021)
by: van Jaarsveld, Willem, et al.
Published: (2021)
Learning an Inventory Control Policy with General Inventory Arrival Dynamics
by: Andaz, Sohrab, et al.
Published: (2023)
by: Andaz, Sohrab, et al.
Published: (2023)
Integrated trucks assignment and scheduling problem with mixed service mode docks: A Q-learning based adaptive large neighborhood search algorithm
by: Li, Yueyi, et al.
Published: (2024)
by: Li, Yueyi, et al.
Published: (2024)
Certified Inventory Control of Critical Resources
by: Hult, Ludvig, et al.
Published: (2024)
by: Hult, Ludvig, et al.
Published: (2024)
From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
by: Peschl, Markus, et al.
Published: (2025)
by: Peschl, Markus, et al.
Published: (2025)
In-Context Learning for Data-Driven Censored Inventory Control
by: Mukherjee, Sohom, et al.
Published: (2026)
by: Mukherjee, Sohom, et al.
Published: (2026)
Deep Learning for Perishable Inventory Systems with Human Knowledge
by: Liao, Xuan, et al.
Published: (2026)
by: Liao, Xuan, et al.
Published: (2026)
Non-Stationary Inventory Control with Lead Times
by: Amiri, Nele H., et al.
Published: (2026)
by: Amiri, Nele H., et al.
Published: (2026)
Neural Coordination and Capacity Control for Inventory Management
by: Eisenach, Carson, et al.
Published: (2024)
by: Eisenach, Carson, et al.
Published: (2024)
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control
by: Liu, Zifan, et al.
Published: (2024)
by: Liu, Zifan, et al.
Published: (2024)
Structure-Informed Deep Reinforcement Learning for Inventory Management
by: Maggiar, Alvaro, et al.
Published: (2025)
by: Maggiar, Alvaro, et al.
Published: (2025)
DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
by: Xie, Yaqi, et al.
Published: (2026)
by: Xie, Yaqi, et al.
Published: (2026)
Deconfounding Imitation Learning with Variational Inference
by: Vuorio, Risto, et al.
Published: (2022)
by: Vuorio, Risto, et al.
Published: (2022)
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks
by: Böttcher, Lucas, et al.
Published: (2022)
by: Böttcher, Lucas, et al.
Published: (2022)
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating Function
by: Abdullah, Abdullah Nazhat, et al.
Published: (2024)
by: Abdullah, Abdullah Nazhat, et al.
Published: (2024)
ClevrSkills: Compositional Language and Visual Reasoning in Robotics
by: Haresh, Sanjay, et al.
Published: (2024)
by: Haresh, Sanjay, et al.
Published: (2024)
AI Agents for Inventory Control: Human-LLM-OR Complementarity
by: Baek, Jackie, et al.
Published: (2026)
by: Baek, Jackie, et al.
Published: (2026)
Deep Reinforcement Learning for Inventory Networks: Toward Reliable Policy Optimization
by: Alvo, Matias, et al.
Published: (2023)
by: Alvo, Matias, et al.
Published: (2023)
Nuclear Microreactor Control with Deep Reinforcement Learning
by: Tunkle, Leo, et al.
Published: (2025)
by: Tunkle, Leo, et al.
Published: (2025)
Promises of Deep Kernel Learning for Control Synthesis
by: Reed, Robert, et al.
Published: (2023)
by: Reed, Robert, et al.
Published: (2023)
Are Deep Learning Based Hybrid PDE Solvers Reliable? Why Training Paradigms and Update Strategies Matter
by: Wu, Yuhan, et al.
Published: (2026)
by: Wu, Yuhan, et al.
Published: (2026)
Deep Reinforcement Learning for the Design of Metamaterial Mechanisms with Functional Compliance Control
by: Choi, Yejun, et al.
Published: (2024)
by: Choi, Yejun, et al.
Published: (2024)
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks
by: Fernandez, Franklin Cardeñoso, et al.
Published: (2021)
by: Fernandez, Franklin Cardeñoso, et al.
Published: (2021)
Controllable Data Generation by Deep Learning: A Review
by: Wang, Shiyu, et al.
Published: (2022)
by: Wang, Shiyu, et al.
Published: (2022)
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
by: Idrissi, Marouane Il, et al.
Published: (2025)
by: Idrissi, Marouane Il, et al.
Published: (2025)
Information-driven Affordance Discovery for Efficient Robotic Manipulation
by: Mazzaglia, Pietro, et al.
Published: (2024)
by: Mazzaglia, Pietro, et al.
Published: (2024)
Controlled Generation with Equivariant Variational Flow Matching
by: Eijkelboom, Floor, et al.
Published: (2025)
by: Eijkelboom, Floor, et al.
Published: (2025)
Deep RL Dual Sourcing Inventory Management with Supply and Capacity Risk Awareness
by: Liu, Defeng, et al.
Published: (2025)
by: Liu, Defeng, et al.
Published: (2025)
Learning the mechanisms of network growth
by: Touwen, Lourens, et al.
Published: (2024)
by: Touwen, Lourens, et al.
Published: (2024)
Deep Learning Model Predictive Control for Deep Brain Stimulation in Parkinson's Disease
by: Steffen, Sebastian, et al.
Published: (2025)
by: Steffen, Sebastian, et al.
Published: (2025)
A Forget-and-Grow Strategy for Deep Reinforcement Learning Scaling in Continuous Control
by: Kang, Zilin, et al.
Published: (2025)
by: Kang, Zilin, et al.
Published: (2025)
Balancing Efficiency and Fairness in Traffic Light Control through Deep Reinforcement Learning
by: Cederle, Matteo, et al.
Published: (2026)
by: Cederle, Matteo, et al.
Published: (2026)
Similar Items
-
Zero-shot Generalization in Inventory Management: Train, then Estimate and Decide
by: Temizöz, Tarkan, et al.
Published: (2024) -
Classical and Deep Reinforcement Learning Inventory Control Policies for Pharmaceutical Supply Chains with Perishability and Non-Stationarity
by: Stranieri, Francesco, et al.
Published: (2025) -
Automated decision-making for dynamic task assignment at scale
by: Bianco, Riccardo Lo, et al.
Published: (2025) -
GymPN: A Library for Decision-Making in Process Management Systems
by: Bianco, Riccardo Lo, et al.
Published: (2025) -
Discovery of Decision Synchronization Patterns from Event Logs
by: Kuijpers, Tijmen, et al.
Published: (2026)