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cs.AI2025
Counterfactual Scenarios for Automated Planning
Nicola Gigante, Francesco Leofante, Andrea Micheli
Counterfactual Explanations (CEs) are a powerful technique used to explain Machine Learning models by showing how the input to a model should be minimally changed for the model to…
cs.AI2025
Synthesis of timeline-based planning strategies avoiding determinization
Dario Della Monica, Angelo Montanari, Pietro Sala
Qualitative timeline-based planning models domains as sets of independent, but interacting, components whose behaviors over time, the timelines, are governed by sets of qualitative…