Farinelli, Alessandro

26 publications

ICCV 2025 Collaborative Instance Object Navigation: Leveraging Uncertainty-Awareness to Minimize Human-Agent Dialogues Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang

AAAI 2025 Learning Logic Specifications for Policy Guidance in POMDPs: An Inductive Logic Programming Approach Daniele Meli, Alberto Castellini, Alessandro Farinelli

JAIR 2025 Probabilistically Tightened Linear Relaxation-Based Perturbation Analysis for Neural Network Verification Luca Marzari, Ferdinando Cicalese, Alessandro Farinelli

JAIR 2025 Scaling Safe Policy Improvement: Monte Carlo Tree Search and Policy Iteration Strategies Federico Bianchi, Alberto Castellini, Edoardo Zorzi, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli

AAAI 2024 Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese

JAIR 2024 Learning Logic Specifications for Policy Guidance in POMDPs: An Inductive Logic Programming Approach Daniele Meli, Alberto Castellini, Alessandro Farinelli

ICML 2024 Scalable Safe Policy Improvement for Factored Multi-Agent MDPs Federico Bianchi, Edoardo Zorzi, Alberto Castellini, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli

ICCVW 2023 Language-Enhanced RNR-mAP: Querying Renderable Neural Radiance Field Maps with Natural Language Francesco Taioli, Federico Cunico, Federico Girella, Riccardo Bologna, Alessandro Farinelli, Marco Cristani

ICML 2023 Scalable Safe Policy Improvement via Monte Carlo Tree Search Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan

IJCAI 2023 The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli

AAAI 2022 Exploring Safer Behaviors for Deep Reinforcement Learning Enrico Marchesini, Davide Corsi, Alessandro Farinelli

UAI 2021 Formal Verification of Neural Networks for Safety-Critical Tasks in Deep Reinforcement Learning Davide Corsi, Enrico Marchesini, Alessandro Farinelli

ICLR 2021 Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning Enrico Marchesini, Davide Corsi, Alessandro Farinelli

IJCAI 2019 Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli

JAIR 2018 A COP Model for Graph-Constrained Coalition Formation Filippo Bistaffa, Alessandro Farinelli

IJCAI 2018 A COP Model for Graph-Constrained Coalition Formation (Extended Abstract) Filippo Bistaffa, Alessandro Farinelli

IJCAI 2017 A Monte Carlo Tree Search Approach to Active Malware Analysis Riccardo Sartea, Alessandro Farinelli

ICCV 2017 Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mario A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov

IJCAI 2015 Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm Matteo Denitto, Alessandro Farinelli, Manuele Bicego

AAAI 2015 Sharing Rides with Friends: A Coalition Formation Algorithm for Ridesharing Filippo Bistaffa, Alessandro Farinelli, Sarvapali D. Ramchurn

IJCAI 2013 C-Link: A Hierarchical Clustering Approach to Large-Scale Near-Optimal Coalition Formation Alessandro Farinelli, Manuele Bicego, Sarvapali D. Ramchurn, Mauro Zucchelli

AAAI 2010 A Distributed Algorithm for Optimising over Pure Strategy Nash Equilibria Archie C. Chapman, Alessandro Farinelli, Enrique Munoz de Cote, Alex Rogers, Nicholas R. Jennings

NeurIPS 2010 Worst-Case Bounds on the Quality of Max-Product Fixed-Points Meritxell Vinyals, Jes\'us Cerquides, Alessandro Farinelli, Juan A. Rodríguez-aguilar

IJCAI 2009 Decentralised Coordination of Mobile Sensors Using the Max-Sum Algorithm Ruben Stranders, Alessandro Farinelli, Alex Rogers, Nicholas R. Jennings

IJCAI 2007 Dealing with Perception Errors in Multi-Robot System Coordination Alessandro Farinelli, Daniele Nardi, Paul Scerri, Alberto Ingenito

IJCAI 2007 Team Programming in Golog Under Partial Observability Alessandro Farinelli, Alberto Finzi, Thomas Lukasiewicz