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Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation

NeurIPS 2023 · Reinforcement learning › Offline RL · approach: Offline policy evaluation and selection · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use C*-PDIS with evaluation-policy Q annotations instead of standard PDISSepsis simulator policy evaluation · Sepsis simulatorRMSE: 0.113 ±0.038 -> 0.013 ±0.005Helped
Use C*-PDIS with evaluation-policy Q annotations instead of standard PDISSepsis simulator policy evaluation · Sepsis simulatorSpearman: 0.596 ±0.110 -> 0.995 ±0.003Helped
Use C*-PDIS with evaluation-policy Q annotations instead of standard PDISSepsis simulator policy evaluation · Sepsis simulator%Accuracy: 76.5 ±3.5 -> 95.7 ±3.1Helped
Add counterfactual annotations as new trajectories without reweightingSepsis simulator policy evaluation · Sepsis simulatorRMSE: 0.113 ±0.038 -> 0.128 ±0.006Hurt
Reweight counterfactual annotations at the trajectory levelSepsis simulator policy evaluation · Sepsis simulatorRMSE: 0.113 ±0.038 -> 0.097 ±0.006Helped
Use behavior-policy Q annotations instead of evaluation-policy Q annotations (ablation)C*-PDIS · Sepsis simulatorRMSE: 0.013 ±0.005 -> 0.070 ±0.003Hurt
Correct behavior-policy Q annotations using the estimated annotation-bias function (ablation)C*-PDIS with behavior-policy Q annotations · Sepsis simulatorRMSE: 0.070 ±0.003 -> 0.028 ±0.007Helped
Use C*-IS with equal weights instead of standard ISSynthetic bandit evaluation · Synthetic banditsRMSEHelped
Add counterfactual annotations as unweighted samplesSynthetic bandit evaluation · Synthetic banditsRMSEHurt
Increase the amount of available counterfactual annotations (ablation)C*-PDIS · Sepsis simulatorOPE performanceHelped
Impute missing counterfactual annotations with an annotation model (ablation)C*-PDIS · Sepsis simulatorOPE performanceHelped
Add noise to counterfactual annotations (ablation)C*-PDIS · Sepsis simulatorOPE performanceHurt

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