Reinforcement Learning Under Runtime Confounding: Policy Learning and Off-Policy Evaluation
arXiv:2610.40056v1 Announce Type: new Abstract: Reinforcement learning (RL) is increasingly used to train robust, adaptable systems across healthcare, e-commerce, and robotics. In these settings, legal, ethical, or logistical concerns may preclude certain key variables that drive decisions from bei…
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- 2026-10-30 04:00 · arXiv stat.ML
Reinforcement Learning Under Runtime Confounding: Policy Learning and Off-Policy Evaluation