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Home/Authors/Rachel Luo

Rachel Luo

1 indexed paper

Recent (6 mo)
1
With code
0
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0
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Publications per year

1
26

Top categories

Robotics×1

Frequent co-authors

Michael Watson1×
Apoorva Sharma1×
Heng Yang1×
Han Qi1×
Edward Schmerling1×
Sushant Veer1×

Research Timeline

2026
X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation

This paper introduces X4Val, a framework for variance-reduced real-world metric estimation using non-paired, multi-domain data.

Highlighted terms show continued research focus across papers

Papers

cs.RORecentJun 3, 2026

X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation

Rachel Luo, Michael Watson, Apoorva Sharma, Heng Yang +5 more

This paper introduces X4Val, a framework for variance-reduced real-world metric estimation using non-paired, multi-domain data.

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