PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks. - Anandsingh Chauhan; Mayank Baranwal; Ansuma Basumatary (AAAI, 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)

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

An Experimental Evaluation of a Blockchain-based Peer-to-Peer Energy Trading Framework. - Anandsingh Chauhan; Sachinkumar Suthar; Ravindra B. Kuhada; S. Hari Charan Cherukuri; Naran M. Pindoriya (ISGT Asia, 2024)

Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays. - Aritra Pal; Anandsingh Chauhan; Mayank Baranwal (AAMAS, 2025)