4 papers
Distributional Off-Policy Evaluation with Deep Quantile Process Regression
Qi Kuang, Chao Wang, Yuling Jiao +1
This paper investigates the off-policy evaluation (OPE) problem from a distributional perspective. Rather than focusing solely on the expectation of the total return, as in most ex…
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Shuguang Yu, Shuxing Fang, Ruixin Peng +3
This paper studies off-policy evaluation (OPE) in the presence of unmeasured confounders. Inspired by the two-way fixed effects regression model widely used in the panel data liter…
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences
Runpeng Dai, Jianing Wang, Fan Zhou +4
Off-policy evaluation (OPE) is widely applied in sectors such as pharmaceuticals and e-commerce to evaluate the efficacy of novel products or policies from offline datasets. This p…
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
Ting Li, Chengchun Shi, Jianing Wang +2
A/B testing is critical for modern technological companies to evaluate the effectiveness of newly developed products against standard baselines. This paper studies optimal designs…