24 citations · 47 across the 6 of their papers we have counts for
3 papers · 1 filter
Multi-User Reinforcement Learning with Low Rank Rewards
Naman Agarwal, Prateek Jain, Suhas Kowshik +2
In this work, we consider the problem of collaborative multi-user reinforcement learning. In this setting there are multiple users with the same state-action space and transition p…
Adaptive Gradient Methods at the Edge of Stability
Jeremy M. Cohen, Behrooz Ghorbani, Shankar Krishnan +8
Very little is known about the training dynamics of adaptive gradient methods like Adam in deep learning. In this paper, we shed light on the behavior of these algorithms in the fu…
Machine Learning for Mechanical Ventilation Control (Extended Abstract)
Daniel Suo, Naman Agarwal, Wenhan Xia +12
Mechanical ventilation is one of the most widely used therapies in the ICU. However, despite broad application from anaesthesia to COVID-related life support, many injurious challe…