A. Lakshminarayanan

Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games

Noa Agmon, Milind Tambe, Aravind S. Lakshminarayanan, 2015, GameSec.

Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling

Ivan Ho Mien, Praveer Singh, Jayashree Kalpathy-Cramer, 2022, DeCaF/FAIR@MICCAI.

DLP NIRscan Nano: an ultra-mobile DLP-based near-infrared Bluetooth spectrometer

Eric Pruett, Pedro Gelabert, Gavin Perrella, 2016, SPIE OPTO.

Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks pdf

Balaraman Ravindran, Aravind S. Lakshminarayanan, Peeyush Kumar, 2016, ArXiv.

Every team deserves a second chance: an extended study on predicting team performance

Leandro Soriano Marcolino, Milind Tambe, Aravind S. Lakshminarayanan, 2017, Autonomous Agents and Multi-Agent Systems.

$A^2T$: Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources

Balaraman Ravindran, Mitesh M. Khapra, Aravind S. Lakshminarayanan, 2015 .

Every team deserves a second chance: an extended study on predicting team performance

Milind Tambe, L. Marcolino, Vaishnavh Nagarajan, 2016, Autonomous Agents and Multi-Agent Systems.

Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning

Balaraman Ravindran, A. Lakshminarayanan, Sahil Sharma, 2017, ICLR.