AI RESEARCH

Counterfactual Reasoning in Automated Planning

arXiv CS.AI

ArXi:2605.02603v1 Announce Type: new Automated planning traditionally assumes that all aspects of a planning task (initial state, goals, and available actions) are fully specified in advance, an approach well-suited to domains with fixed rules and deterministic execution. However, real-world planning often requires flexibility, allowing for deviations from the original task parameters in response to unforeseen circumstances or to improve outcomes.