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Vinita Baniwal
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2020 – today
- 2022
- [j2]Hardik Meisheri
, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar:
Scalable multi-product inventory control with lead time constraints using reinforcement learning. Neural Comput. Appl. 34(3): 1735-1757 (2022) - 2021
- [c4]Omkar Shelke, Vinita Baniwal, Harshad Khadilkar:
Anticipatory Decisions in Retail E-Commerce Warehouses using Reinforcement Learning. COMAD/CODS 2021: 272-280 - [i3]Nazneen N. Sultana, Vinita Baniwal, Ansuma Basumatary, Piyush Mittal, Supratim Ghosh, Harshad Khadilkar:
Fast Approximate Solutions using Reinforcement Learning for Dynamic Capacitated Vehicle Routing with Time Windows. CoRR abs/2102.12088 (2021) - 2020
- [i2]Nazneen N. Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar:
Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains. CoRR abs/2006.04037 (2020)
2010 – 2019
- 2019
- [c3]Vinita Baniwal, Chandrai Kayal, Dheeraj Shah, Padmakumar Ma, Harshad Khadilkar:
An Imitation Learning Approach for Computing Anticipatory Picking Decisions in Retail Distribution Centres. ACC 2019: 4186-4191 - [c2]Souvik Barat, Harshad Khadilkar, Hardik Meisheri, Vinay Kulkarni, Vinita Baniwal, Prashant Kumar, Monika Gajrani:
Actor Based Simulation for Closed Loop Control of Supply Chain using Reinforcement Learning. AAMAS 2019: 1802-1804 - [c1]Souvik Barat
, Prashant Kumar
, Monika Gajrani
, Harshad Khadilkar
, Hardik Meisheri
, Vinita Baniwal
, Vinay Kulkarni
:
Reinforcement Learning of Supply Chain Control Policy Using Closed Loop Multi-agent Simulation. MABS 2019: 26-38 - [i1]Hardik Meisheri, Vinita Baniwal, Nazneen N. Sultana, Balaraman Ravindran, Harshad Khadilkar:
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. CoRR abs/1910.00211 (2019) - 2018
- [j1]Meenu Chawla
, Vinita Baniwal:
Optimization in the catalyst optimizer of Spark SQL. Turkish J. Electr. Eng. Comput. Sci. 26(5): 2489-2499 (2018)
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