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Evidence record 18297 · automatically gathered

A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning

Reinforcement learning (RL) seeks to optimize sequential decisions to maximize population-level benefits over time. However, when deployed in high-stakes settings such as healthcare, RL decisions might systematically restrict some subpopulation's access to valuable services in a manner contrary to the values and goals of stakeholders. Counterfactual fairness (CF) offers a promising framework to address this problem based on causal reasoning. This paper develops a data preprocessing algorithm tha

Record details

Published: 9 August 2026
Source: arXiv fairness query
Category: Research
Topics: Bias & fairness · Healthcare
Retrieved: 11 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Bias & fairness · Shared topic: Healthcare

H2AL: Hyperbolic Hierarchy-aware Aggregative Learning for Registration-based Few-shot Medical Image Segmentation

arXiv cs.AI · 7 August 2026

Shared topic: Bias & fairness · Shared topic: Healthcare

Prioritizing Equity in Design and Implementation of Consumer-Facing Digital Resources to Support Engagement and Shared Decision-Making

JMIR (Journal of Medical Internet Research) · 11 August 2026

Shared topic: Bias & fairness · Shared topic: Healthcare

GoT-CD: Graph-of-Thoughts Causal Discovery and the Fragility of Post-hoc Path-Specific Fairness Audits

arXiv fairness query · 3 August 2026

Shared topic: Bias & fairness · Shared topic: Healthcare

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability

arXiv · 3 August 2026

Shared topic: Bias & fairness · Shared topic: Healthcare

KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

arXiv cs.LG · 30 July 2026

Shared topic: Bias & fairness · Shared topic: Healthcare

Fairness Interventions in Classification: A Study on AI Explainability

arXiv cs.CY · 28 July 2026

How to cite this record

ethics.ai (9 August 2026), “A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning,” evidence record 18297, https://ethics.ai/record/18297 (originally published by arXiv fairness query).

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