Research map / Reinforcement learning / Policy gradient and actor-critic
Reliable Decision Support using Counterfactual Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the counterfactual objective instead of the standard supervised objective | GP risk model · Simulated risk prediction, Regime B | Risk Score Δ from A: 0.083 -> 0.001 | Helped |
| Use the counterfactual objective instead of the standard supervised objective | GP risk model · Simulated risk prediction, Regime B | Kendall's τ from A: 0.857 -> 0.998 | Helped |
| Use the counterfactual objective instead of the standard supervised objective | GP risk model · Simulated risk prediction, Regime B | AUC: 0.832 -> 0.872 | Helped |
| Train under a policy that violates the CGP assumptions | CGP · Simulated risk prediction, Regime C | Risk Score Δ from A: 0.001 -> 0.128 | Hurt |
| Train under a policy that violates the CGP assumptions | CGP · Simulated risk prediction, Regime C | Kendall's τ from A: 0.998 -> 0.562 | Hurt |
| Train under a policy that violates the CGP assumptions | CGP · Simulated risk prediction, Regime C | AUC: 0.872 -> 0.829 | Hurt |
| Train on a different action policy | Baseline GP · Simulated risk prediction, Regime B | Risk Score Δ from A: 0.000 -> 0.083 | Hurt |
| Train on a different action policy | Baseline GP · Simulated risk prediction, Regime B | AUC: 0.853 -> 0.832 | Hurt |
| Add treatment-effect modeling to the three-GP mixture (ablation) | CGP outcome model · MIMIC-II creatinine, 24-hour horizon | MAE: 0.07 (0.06, 0.08) | Helped |
| Add treatment-effect modeling to the three-GP mixture (ablation) | CGP outcome model · MIMIC-II creatinine, 24-48 hours | MAE: 0.09 (0.08, 0.10) | Helped |
| Use a mixture of GPs instead of a single GP while modeling treatment effects (ablation) | CGP outcome model · MIMIC-II creatinine, 24-hour horizon | MAE: 0.04 (0.04, 0.05) | Helped |
| Use a mixture of GPs instead of a single GP while modeling treatment effects (ablation) | CGP outcome model · MIMIC-II creatinine, 24-48 hours | MAE: 0.03 (0.02, 0.04) | Helped |
Closest papers by meaning
- Variational Counterfactual Intervention Planning to Achieve Target Outcomes (ICML 2025 · similarity 0.87)
- Designing Decision Support Systems using Counterfactual Prediction Sets (ICML 2024 · similarity 0.86)
- LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching (NeurIPS 2025 · similarity 0.85)
- Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents (ICML 2025 · similarity 0.84)
- Learning Counterfactual Outcomes Under Rank Preservation (NeurIPS 2025 · similarity 0.84)
- Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets (NeurIPS 2024 · similarity 0.84)
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