26 citations · 44 across the 3 of their papers we have counts for
4 papers
A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management
Hardik Meisheri, Somjit Nath, Mayank Baranwal +1
Most existing literature on supply chain and inventory management consider stochastic demand processes with zero or constant lead times. While it is true that in certain niche scen…
Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays
Somjit Nath, Mayank Baranwal, Harshad Khadilkar
Several real-world scenarios, such as remote control and sensing, are comprised of action and observation delays. The presence of delays degrades the performance of reinforcement l…
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains
Nazneen N Sultana, Hardik Meisheri, Vinita Baniwal +3
This paper describes the application of reinforcement learning (RL) to multi-product inventory management in supply chains. The problem description and solution are both adapted fr…
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning
Somjit Nath, Richa Verma, Abhik Ray +1
We propose a generic reward shaping approach for improving the rate of convergence in reinforcement learning (RL), called Self Improvement Based REwards, or SIBRE. The approach is…