most citedLocal Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 1 cited

Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions

Haanvid Lee, Jongmin Lee, Yunseon Choi +4

We consider local kernel metric learning for off-policy evaluation (OPE) of deterministic policies in contextual bandits with continuous action spaces. Our work is motivated by pra…

physics.app-ph2021

Sustaining Efficiency at Elevated Power Densities with InGaAs Air Bridge Cells

Bosun Roy-Layinde, Tobias Burger, Dejiu Fan +4

Here we investigate the use of single-junction InGaAs airbridge cells (ABCs) at elevated power densities. Such conditions are relevant to many thermophotovoltaic (TPV) applications…