Leonardo Lamanna

According to our database, Leonardo Lamanna authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Lifted action models learning from partial traces.

Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Emilio Gerevini, Paolo Traverso

Artif. Intell., 2025

2024

Planning and learning to perceive in partially unknown environments.

Leonardo Lamanna

Intelligenza Artificiale, 2024

Action Model Learning from Noisy Traces: a Probabilistic Approach.

Leonardo Lamanna, Luciano Serafini

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023

Learning to Act for Perceiving in Partially Unknown Environments.

Leonardo Lamanna, Mohamadreza Faridghasemnia, Alfonso Gerevini, Alessandro Saetti, Alessandro Saffiotti, Luciano Serafini, Paolo Traverso

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Planning for Learning Object Properties.

Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia, Alessandro Saffiotti, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A two-phase kernel search variant for the multidimensional multiple-choice knapsack problem.

Leonardo Lamanna, Renata Mansini, Roberto Zanotti

Eur. J. Oper. Res., 2022

Online Grounding of Symbolic Planning Domains in Unknown Environments.

Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso

Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning, 2022

Online Learning of Reusable Abstract Models for Object Goal Navigation.

Tommaso Campari, Leonardo Lamanna, Paolo Traverso, Luciano Serafini, Lamberto Ballan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Online Grounding of PDDL Domains by Acting and Sensing in Unknown Environments.

Leonardo Lamanna, Luciano Serafini, Alessandro Saetti, Alfonso Gerevini, Paolo Traverso

CoRR, 2021

Online Learning of Action Models for PDDL Planning.

Leonardo Lamanna, Alessandro Saetti, Luciano Serafini, Alfonso Gerevini, Paolo Traverso

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces.

Leonardo Lamanna, Alfonso Emilio Gerevini, Alessandro Saetti, Luciano Serafini, Paolo Traverso

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments.

Leonardo Lamanna

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021