arXiv stat.ML
· Papers
A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning
arXiv:2608.08743v1 Announce Type: new Abstract: 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 servic