Policy Interpretation for Partially Observable Monte-Carlo Planning: a Rule-based Approach. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2020)

Explaining the Influence of Prior Knowledge on POMCP Policies. - Alberto Castellini; Enrico Marchesini; Giulio Mazzi; Alessandro Farinelli (EUMAS/AT, 2020)

Rule-based Shielding for Partially Observable Monte-Carlo Planning. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (ICAPS, 2021)

Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (AAMAS, 2021)

Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (OVERLAY@GandALF, 2021)

From POMDP Executions to Probabilistic Axioms. - Daniele Meli; Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (OVERLAY@AI*IA, 2022)

Active Generation of Logical Rules for POMCP Shielding. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (AAMAS, 2022)

Learning Logic Specifications for Soft Policy Guidance in POMCP. - Giulio Mazzi; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AAMAS, 2023)

Risk-aware shielding of Partially Observable Monte Carlo Planning policies. - Giulio Mazzi; Alberto Castellini; Alessandro Farinelli (Artif. Intell., 2023)