26 citations · 65 across the 11 of their papers we have counts for
4 papers · 1 filter
Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce
Omkar Shelke, Pranavi Pathakota, Anandsingh Chauhan +3
This paper presents an integrated algorithmic framework for minimising product delivery costs in e-commerce (known as the cost-to-serve or C2S). One of the major challenges in e-co…
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows
Nazneen N Sultana, Vinita Baniwal, Ansuma Basumatary +3
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…
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing
Richa Verma, Aniruddha Singhal, Harshad Khadilkar +5
We propose a Deep Reinforcement Learning (Deep RL) algorithm for solving the online 3D bin packing problem for an arbitrary number of bins and any bin size. The focus is on produci…
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems
Hardik Meisheri, Vinita Baniwal, Nazneen N Sultana +2
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 comput…