Learning to Minimize Cost to Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce. - Pranavi Pathakota; Kunwar Zaid; Anulekha Dhara; Hardik Meisheri; Shaun D'Souza; Dheeraj Shah; Harshad Khadilkar (COMAD/CODS, 2023)

Multi-Agent Learning of Efficient Fulfilment and Routing Strategies in E-Commerce. - Omkar Shelke; Pranavi Pathakota; Anandsingh Chauhan; Harshad Khadilkar; Hardik Meisheri; Balaraman Ravindran (CoRR, 2023)

DCT: Dual Channel Training of Action Embeddings for Reinforcement Learning with Large Discrete Action Spaces. - Pranavi Pathakota; Hardik Meisheri; Harshad Khadilkar (AAMAS, 2024)

A Learning Approach for Discovering Cost-Efficient Integrated Sourcing and Routing Strategies in E-Commerce. - Omkar Shelke; Pranavi Pathakota; Anandsingh Chauhan; Hardik Meisheri; Harshad Khadilkar; Balaraman Ravindran (COMAD/CODS, 2024)