Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. - Aravind Venugopal; Elizabeth Bondi; Harshavardhan Kamarthi; Keval Dholakia; Balaraman Ravindran; Milind Tambe (AAMAS, 2021)

Evolutionary Approach to Security Games with Signaling. - Adam Zychowski; Jacek Mandziuk; Elizabeth Bondi; Aravind Venugopal; Milind Tambe; Balaraman Ravindran (IJCAI, 2022)

Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument. - Aravind Venugopal; Sara Moccia; Simone Foti; Arpita Routray; Robert A. MacLachlan; Alessandro Perin; Leonardo S. Mattos; Alexander K. Yu; Jody Leonardo; Elena De Momi; Cameron N. Riviere (Int. J. Comput. Assist. Radiol. Surg., 2022)

Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. - Aravind Venugopal; Stephanie Milani; Fei Fang 001; Balaraman Ravindran (CoRR, 2023)

Impact of Dimensions, Apertures and Terminals on Stray Inductance of the Laminated Busbar. - Aravind Venugopal; Femi Robert (Period. Polytech. Electr. Eng. Comput. Sci., 2023)

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. - Aravind Venugopal; Stephanie Milani; Fei Fang 001; Balaraman Ravindran (AAMAS, 2024)

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning. - Jiayu Chen; Aravind Venugopal; Jeff Schneider (CoRR, 2025)