no code implementations • 24 Feb 2021 • Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar
This paper develops an inherently parallelised, fast, approximate learning-based solution to the generic class of Capacitated Vehicle Routing Problems with Time Windows and Dynamic Routing (CVRP-TWDR).
1 code implementation • 7 Jun 2020 • Nazneen N Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar
This paper describes the application of reinforcement learning (RL) to multi-product inventory management in supply chains.
no code implementations • 1 Oct 2019 • Hardik Meisheri, Vinita Baniwal, Nazneen N Sultana, Balaraman Ravindran, Harshad Khadilkar
This paper describes a purely data-driven solution to a class of sequential decision-making problems with a large number of concurrent online decisions, with applications to computing systems and operations research.