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cs.LG2022
Semi-supervised Batch Learning From Logged Data
Gholamali Aminian, Armin Behnamnia, Roberto Vega +5
Off-policy learning methods are intended to learn a policy from logged data, which includes context, action, and feedback (cost or reward) for each sample point. In this work, we b…
cs.LG2022★ 2 cited
Domain-shift adaptation via linear transformations
Roberto Vega, Russell Greiner
A predictor, , learned with data from a source domain (A) might not be accurate on a target domain (B) when their distributions are different. Domain adaptation aims…