Optimization in the catalyst optimizer of Spark SQL. - Meenu Chawla; Vinita Baniwal (Turkish J. Electr. Eng. Comput. Sci., 2018)

An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres. - Vinita Baniwal; Chandrai Kayal; Dheeraj Shah; Padmakumar Ma; Harshad Khadilkar (ACC, 2019)

Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning. - Souvik Barat; Harshad Khadilkar; Hardik Meisheri; Vinay Kulkarni 001; Vinita Baniwal; Prashant Kumar; Monika Gajrani (AAMAS, 2019)

Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation. - Souvik Barat; Prashant Kumar; Monika Gajrani; Harshad Khadilkar; Hardik Meisheri; Vinita Baniwal; Vinay Kulkarni 001 (MABS, 2019)

Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. - Hardik Meisheri; Vinita Baniwal; Nazneen N. Sultana; Balaraman Ravindran; Harshad Khadilkar (CoRR, 2019)

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains. - Nazneen N. Sultana; Hardik Meisheri; Vinita Baniwal; Somjit Nath; Balaraman Ravindran; Harshad Khadilkar (CoRR, 2020)

Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning. - Omkar Shelke; Vinita Baniwal; Harshad Khadilkar (COMAD/CODS, 2021)

Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows. - Nazneen N. Sultana; Vinita Baniwal; Ansuma Basumatary; Piyush Mittal; Supratim Ghosh; Harshad Khadilkar (CoRR, 2021)

Scalable multi-product inventory control with lead time constraints using reinforcement learning. - Hardik Meisheri; Nazneen N. Sultana; Mayank Baranwal; Vinita Baniwal; Somjit Nath; Satyam Verma; Balaraman Ravindran; Harshad Khadilkar (Neural Comput. Appl., 2022)