Planning under Distribution Shifts with Causal POMDPs

arXiv:2602.23545v1 Announce Type: new Abstract: In the real world, planning is often challenged by distribution shifts. As such, a model of the environment obtained under one set of conditions may no longer remain valid as the distribution of states or the environment dynamics change, which in turn causes previously learned strategies to fail. In this work, we propose a theoretical framework for p