31 citations · 76 across the 21 of their papers we have counts for
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cs.LG2024
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
Luke Snow, Vikram Krishnamurthy
We derive a minimax distributionally robust inverse reinforcement learning (IRL) algorithm to reconstruct the utility functions of a multi-agent sensing system. Specifically, we co…
cs.LG2023★ 2 cited
Controlling Federated Learning for Covertness
Adit Jain, Vikram Krishnamurthy
A learner aims to minimize a function by repeatedly querying a distributed oracle that provides noisy gradient evaluations. At the same time, the learner seeks to hide $\arg\mi…
cs.LG2023★ 1 cited
Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution
Rui Luo, Vikram Krishnamurthy
This study presents a novel deep learning method, called GATv2-GCN, for predicting player performance in sports. To construct a dynamic player interaction graph, we leverage player…