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Aravind Venugopal
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2020 – today
- 2024
- [c3]Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran:
MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning. AAMAS 2024: 1865-1873 - 2023
- [j2]Aravind Venugopal, Femi Robert:
Impact of Dimensions, Apertures and Terminals on Stray Inductance of the Laminated Busbar. Period. Polytech. Electr. Eng. Comput. Sci. 67(1): 83-94 (2023) - [i3]Aravind Venugopal, Stephanie Milani, Fei Fang, Balaraman Ravindran:
Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning. CoRR abs/2304.06011 (2023) - 2022
- [j1]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:
Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument. Int. J. Comput. Assist. Radiol. Surg. 17(6): 1069-1077 (2022) - [c2]Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. IJCAI 2022: 620-627 - [i2]Adam Zychowski, Jacek Mandziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe, Balaraman Ravindran:
Evolutionary Approach to Security Games with Signaling. CoRR abs/2204.14173 (2022) - 2021
- [c1]Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe:
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. AAMAS 2021: 1353-1361 - 2020
- [i1]Aravind Venugopal, Elizabeth Bondi, Harshavardhan Kamarthi, Keval Dholakia, Balaraman Ravindran, Milind Tambe:
Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. CoRR abs/2012.10389 (2020)
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