A Simulation Driven Optimization Algorithm for Scheduling Sorting Center Operations. - Supratim Ghosh; Aritra Pal; Prashant Kumar; Ankush Ojha; Aditya A. Paranjape; Souvik Barat; Harshad Khadilkar (WSC, 2021)

A generalized algorithm and framework for online 3-dimensional bin packing in an automated sorting center. - Ankush Ojha; Marichi Agarwal; Aniruddha Singhal; Chayan Sarkar; Supratim Ghosh; Rajesh Sinha (CoRR, 2021)

Gatekeeper: A deep reinforcement learning-cum-heuristic based algorithm for scheduling and routing trains in complex environments. - Deepak Mohapatra; Ankush Ojha; Harshad Khadilkar; Supratim Ghosh (IJCNN, 2022)

A Simulation-Aided Deep Reinforcement Learning Approach for Optimization of Automated Sorting Center Processes. - Deepak Mohapatra; Aritra Pal; Ankush Ojha; Supratim Ghosh; Marichi Agarwal; Chayan Sarkar (WSC, 2022)

A Reinforcement Learning Approach for Electric Vehicle Routing Problem with Vehicle-to-Grid Supply. - Ajay Narayanan; Prasant Misra; Ankush Ojha; Vivek Bandhu; Supratim Ghosh; Arunchandar Vasan 001 (CoRR, 2022)

Agent-based Learning Approach to Electric Vehicle Routing Problem with Vehicle-to-Grid Supply and Battery Swapping. - Ajay Narayanan; Prasant Misra; Ankush Ojha; Abhinav Gupta; Supratim Ghosh; Arunchandar Vasan 001 (COMAD/CODS, 2023)

Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning. - Aritra Pal; Anandsingh Chauhan; Mayank Baranwal; Ankush Ojha (ECAI, 2024)