Discovering What You Can Control: Interventional Boundary Discovery for Reinforcement Learning.

arXiv:2603.18257v3 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, eve