Accelerating Training in Pommerman with Imitation and Reinforcement Learning. - Hardik Meisheri; Omkar Shelke; Richa Verma; Harshad Khadilkar (CoRR, 2019)

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

School of hard knocks: Curriculum analysis for Pommerman with a fixed computational budget. - Omkar Shelke; Hardik Meisheri; Harshad Khadilkar (CoRR, 2021)

Identifying efficient curricula for reinforcement learning in complex environments with a fixed computational budget. - Omkar Shelke; Hardik Meisheri; Harshad Khadilkar (COMAD/CODS, 2022)

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. - Durgesh Kalwar; Omkar Shelke; Somjit Nath; Hardik Meisheri; Harshad Khadilkar (AAMAS, 2023)

Using General Value Functions to Learn Domain-Backed Inventory Management Policies. - Durgesh Kalwar; Omkar Shelke; Harshad Khadilkar (CoRR, 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)

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)