most citedLifelong Learning Metrics

8 citations · 11 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20223 cited

L2Explorer: A Lifelong Reinforcement Learning Assessment Environment

Erik C. Johnson, Eric Q. Nguyen, Blake Schreurs +6

Despite groundbreaking progress in reinforcement learning for robotics, gameplay, and other complex domains, major challenges remain in applying reinforcement learning to the evolv…

cs.AI20228 cited

Lifelong Learning Metrics

Alexander New, Megan Baker, Eric Nguyen +1

The DARPA Lifelong Learning Machines (L2M) program seeks to yield advances in artificial intelligence (AI) systems so that they are capable of learning (and improving) continuously…

cs.LG2018

Semantically-aware population health risk analyses

Alexander New, Sabbir M. Rashid, John S. Erickson +2

One primary task of population health analysis is the identification of risk factors that, for some subpopulation, have a significant association with some health condition. Exampl…

stat.ML2018

A Precision Environment-Wide Association Study of Hypertension via Supervised Cadre Models

Alexander New, Kristin P. Bennett

We consider the problem in precision health of grouping people into subpopulations based on their degree of vulnerability to a risk factor. These subpopulations cannot be discovere…

stat.ML2018

Cadre Modeling: Simultaneously Discovering Subpopulations and Predictive Models

Alexander New, Curt Breneman, Kristin P. Bennett

We consider the problem in regression analysis of identifying subpopulations that exhibit different patterns of response, where each subpopulation requires a different underlying m…