Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments. - Leonardo Lamanna 001 (AAAI, 2021)

On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces. - Leonardo Lamanna 001; Alfonso Emilio Gerevini; Alessandro Saetti; Luciano Serafini; Paolo Traverso (AAAI, 2021)

Online Learning of Action Models for PDDL Planning. - Leonardo Lamanna 001; Alessandro Saetti; Luciano Serafini; Alfonso Gerevini; Paolo Traverso (IJCAI, 2021)

Online Grounding of PDDL Domains by Acting and Sensing in Unknown Environments. - Leonardo Lamanna 001; Luciano Serafini; Alessandro Saetti; Alfonso Gerevini; Paolo Traverso (CoRR, 2021)

Online Learning of Reusable Abstract Models for Object Goal Navigation. - Tommaso Campari; Leonardo Lamanna 001; Paolo Traverso; Luciano Serafini; Lamberto Ballan (CVPR, 2022)

Online Grounding of Symbolic Planning Domains in Unknown Environments. - Leonardo Lamanna 001; Luciano Serafini; Alessandro Saetti; Alfonso Gerevini; Paolo Traverso (KR, 2022)

A two-phase kernel search variant for the multidimensional multiple-choice knapsack problem. - Leonardo Lamanna 001; Renata Mansini; Roberto Zanotti (Eur. J. Oper. Res., 2022)

Planning for Learning Object Properties. - Leonardo Lamanna 001; Luciano Serafini; Mohamadreza Faridghasemnia; Alessandro Saffiotti; Alessandro Saetti; Alfonso Gerevini; Paolo Traverso (AAAI, 2023)

Learning to Act for Perceiving in Partially Unknown Environments. - Leonardo Lamanna 001; Mohamadreza Faridghasemnia; Alfonso Gerevini; Alessandro Saetti; Alessandro Saffiotti; Luciano Serafini; Paolo Traverso (IJCAI, 2023)

Action Model Learning from Noisy Traces: a Probabilistic Approach. - Leonardo Lamanna 001; Luciano Serafini (ICAPS, 2024)

Planning and learning to perceive in partially unknown environments. - Leonardo Lamanna 001 (Intelligenza Artificiale, 2024)

Lifted action models learning from partial traces. - Leonardo Lamanna 001; Luciano Serafini; Alessandro Saetti; Alfonso Emilio Gerevini; Paolo Traverso (Artif. Intell., 2025)