Reinforcement Learning in Supply Chain Optimization
Hardik Meisheri
Researcher
My research interests include Deep Learning, Reinforcement Learning and Natural Language Processing.
Publications
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management
Most existing literature on supply chain and inventory management consider stochastic demand processes with zero or constant lead …
Scalable multi-product inventory control with lead time constraints using reinforcement learning
Determining optimum inventory replenishment decisions is critical for retail businesses with uncertain demand. The problem becomes …
Using Reinforcement Learning for a Large Variable-Dimensional Inventory Management Problem
This paper evaluates the applicability of reinforcement learning (RL) to multi-product inventory management in supply chains. The …
Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning
Reinforcement Learning (RL) has achieved a degree of success in control applications such as online gameplay and robotics, but has …
