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News/Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning
arxiv
PublishedMay 8, 2026 at 4:00 AM
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Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning

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arXiv:2603.18257v2 Announce Type: replace-cross Abstract: When an RL agent's observations contain distractors driven by the same confounders as its true state, observational data alone cannot identify which dimensions the agent controls. In our benchmarks, even state-conditioned observational select

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