Robust Counterfactuals for Markov Decision Processes under Statistical and Causal Uncertainties.

arXiv:2610.20210v1 Announce Type: new Abstract: Counterfactual reasoning (asking what would have happened, had a decision been different) is a powerful tool for identifying causes of failure and explaining the behaviour of AI systems in sequential decision-mak