S.P.Q.R. Wheeled Team. - Luca Iocchi; Daniele Baldassari; Flavio Cappelli; Alessandro Farinelli; Giorgio Grisetti; Floris Maathuis; Daniele Nardi (RoboCup, 2001)

Design and evaluation of multi agent systems for rescue operations. - Alessandro Farinelli; Giorgio Grisetti; Luca Iocchi; Sergio Lo Cascio; Daniele Nardi (IROS, 2003)

Team Oriented Programming and Proxy Agents: The Next Generation. - Paul Scerri; David V. Pynadath; Nathan Schurr; Alessandro Farinelli; Sudeep Gandhe; Milind Tambe (PROMAS, 2003)

RoboCup Rescue Simulation: Methodologies Tools and Evaluation for Practical Applications. - Alessandro Farinelli; Giorgio Grisetti; Luca Iocchi; Sergio Lo Cascio; Daniele Nardi (RoboCup, 2003)

Planning Trajectories in Dynamic Environments Using a Gradient Method. - Alessandro Farinelli; Luca Iocchi (RoboCup, 2003)

An analysis of coordination in Multi-Robot Systems. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi (SMC, 2003)

Allocating Roles in Extreme Teams. - Paul Scerri; Alessandro Farinelli; Stephen Okamoto; Milind Tambe (AAMAS, 2004)

Task Assignment with Dynamic Token Generation. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi; Fabio Patrizi (MSRAS, 2004)

SPQR-RDK: A Modular Framework for Programming Mobile Robots. - Alessandro Farinelli; Giorgio Grisetti; Luca Iocchi (RoboCup, 2004)

Dynamic token generation for constrained tasks in a multi-robot system. - Fabio Cottefoglie; Alessandro Farinelli; Luca Iocchi; Daniele Nardi (SMC (1), 2004)

Token Approach for Role Allocation in Extreme Teams: Analysis and Experimental Evaluation. - Paul Scerri; Alessandro Farinelli; Stephen Okamoto; Milind Tambe (WETICE, 2004)

Multirobot systems: a classification focused on coordination. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi (IEEE Trans. Syst. Man Cybern. Part B, 2004)

Allocating tasks in extreme teams. - Paul Scerri; Alessandro Farinelli; Steven Okamoto; Milind Tambe (AAMAS, 2005)

Task Assignment with Dynamic Perception and Constrained Tasks in a Multi-Robot System. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi; Vittorio A. Ziparo (ICRA, 2005)

A Multi Agent System approach for emergency intervention: experimental analysis and evaluation. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi; Fabio Patrizi (Intelligenza Artificiale, 2005)

Development of an Autonomous Rescue Robot Within the USARSim 3D Virtual Environment. - Giuliano Polverari; Daniele Calisi; Alessandro Farinelli; Daniele Nardi (RoboCup, 2006)

Assignment of Dynamically Perceived Tasks by Token Passing in Multirobot Systems. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi; Vittorio A. Ziparo (Proc. IEEE, 2006)

Uses of Contextual Knowledge in Mobile Robots. - Daniele Calisi; Alessandro Farinelli; Giorgio Grisetti; Luca Iocchi; Daniele Nardi; Stefano Pellegrini; Gian Diego Tipaldi; Vittorio A. Ziparo (AI*IA, 2007)

Heterogeneous Feature State Estimation with Rao-Blackwellized Particle Filters. - Gian Diego Tipaldi; Alessandro Farinelli; Luca Iocchi; Daniele Nardi (ICRA, 2007)

Team Programming in Golog under Partial Observability. - Alessandro Farinelli; Alberto Finzi; Thomas Lukasiewicz (IJCAI, 2007)

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

Semi-autonomous Coordinated Exploration in Rescue Scenarios. - S. La Cesa; Alessandro Farinelli; Luca Iocchi; Daniele Nardi; M. Sbarigia; Marco Zaratti (RoboCup, 2007)

Multi-objective exploration and search for autonomous rescue robots. - Daniele Calisi; Alessandro Farinelli; Luca Iocchi; Daniele Nardi (J. Field Robotics, 2007)

Decentralised coordination of low-power embedded devices using the max-sum algorithm. - Alessandro Farinelli; Alex Rogers; Adrian Petcu; Nicholas R. Jennings (AAMAS (2), 2008)

Agent-based coordination technologies in disaster management. - Sarvapali D. Ramchurn; Alex Rogers; Kathryn S. Macarthur; Alessandro Farinelli; Perukrishnen Vytelingum; Ioannis A. Vetsikas; Nicholas R. Jennings (AAMAS (Demos), 2008)

A decentralized approach to cooperative situation assessment in multi-robot systems. - Giuseppe Paolo Settembre; Paul Scerri; Alessandro Farinelli; Katia P. Sycara; Daniele Nardi (AAMAS (1), 2008)

Max-sum decentralised coordination for sensor systems. - W. T. Luke Teacy; Alessandro Farinelli; N. J. Grabham; Paritosh Padhy; Alex Rogers; Nicholas R. Jennings (AAMAS (Demos), 2008)

Decentralised coordination of continuously valued control parameters using the max-sum algorithm. - Ruben Stranders; Alessandro Farinelli; Alex Rogers; Nick R. Jennings (AAMAS (1), 2009)

Solving disagreements in a multi-agent system performing Situation Assessment. - Giuseppe Paolo Settembre; Daniele Nardi; Roberta Pigliacampo; Alessandro Farinelli; Mirco Rossi (FUSION, 2009)

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

Self-organising Sensors for Wide Area Surveillance Using the Max-sum Algorithm. - Alex Rogers; Alessandro Farinelli; Nicholas R. Jennings (SOAR, 2009)

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

Coalition formation with spatial and temporal constraints. - Sarvapali D. Ramchurn; Maria Polukarov; Alessandro Farinelli; Ngoc Cuong Truong; Nicholas R. Jennings (AAMAS, 2010)

Efficient multi-agent coordination using resource-aware junction trees. - Nicolas Stefanovitch; Alessandro Farinelli; Alex Rogers; Nicholas R. Jennings (AAMAS, 2010)

Worst-case bounds on the quality of max-product fixed-points. - Meritxell Vinyals; Jesús Cerquides; Alessandro Farinelli; Juan A. Rodríguez-Aguilar (NIPS, 2010)

Decentralized Coordination in RoboCup Rescue. - Sarvapali D. Ramchurn; Alessandro Farinelli; Kathryn S. Macarthur; Nicholas R. Jennings (Comput. J., 2010)

Cooperative control through objective achievement. - Alessandro Farinelli; Hikari Fujii; Nanase Tomoyasu; Masaki Takahashi; Antonio D'Angelo; Enrico Pagello (Robotics Auton. Syst., 2010)

Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles. - Paul Scerri; Balajee Kannan; Prasanna Velagapudi; Kate Macarthur; Peter Stone 001; Matthew E. Taylor; John M. Dolan; Alessandro Farinelli; Archie C. Chapman; Bernadine Dias; George Kantor (AAMAS Workshops, 2011)

Resource-aware junction trees for efficient multi-agent coordination. - Nicolas Stefanovitch; Alessandro Farinelli; Alex Rogers; Nicholas R. Jennings (AAMAS, 2011)

Biclustering of Expression Microarray Data Using Affinity Propagation. - Alessandro Farinelli; Matteo Denitto; Manuele Bicego (PRIB, 2011)

Guest editorial: Special issue on optimisation in multi-agent systems. - Sarvapali D. Ramchurn; Alessandro Farinelli; Juan A. Rodríguez-Aguilar (Auton. Agents Multi Agent Syst., 2011)

Bounded approximate decentralised coordination via the max-sum algorithm. - Alex Rogers; Alessandro Farinelli; Ruben Stranders; Nicholas R. Jennings (Artif. Intell., 2011)

Decentralised stable coalition formation among energy consumers in the smart grid (demonstration). - Filippo Bistaffa; Alessandro Farinelli; Meritxell Vinyals; Alex Rogers (AAMAS, 2012)

Decentralized Bayesian reinforcement learning for online agent collaboration. - W. T. Luke Teacy; Georgios Chalkiadakis; Alessandro Farinelli; Alex Rogers; Nick R. Jennings; Sally I. McClean; Gerard Parr (AAMAS, 2012)

A Methodology for Deploying the Max-Sum Algorithm and a Case Study on Unmanned Aerial Vehicles. - Francesco Maria Delle Fave; Alessandro Farinelli; Alex Rogers; Nick R. Jennings (IAAI, 2012)

A Distributed Kinodynamic Collision Avoidance System under ROS. - Nicoló Boscolo; Riccardo De Battisti; Matteo Munaro; Alessandro Farinelli; Enrico Pagello (IAS (2), 2012)

Cooperative situation assessment in a maritime scenario. - Alessandro Farinelli; Daniele Nardi; Roberta Pigliacampo; Mirco Rossi; Giuseppe Paolo Settembre (Int. J. Intell. Syst., 2012)

RMASBench: benchmarking dynamic multi-agent coordination in urban search and rescue. - Alexander Kleiner; Alessandro Farinelli; Sarvapali D. Ramchurn; Bing Shi 002; Fabio Maffioletti; Riccardo Reffato (AAMAS, 2013)

RMASBench: a benchmarking system for multi-agent coordination in urban search and rescue. - Fabio Maffioletti; Riccardo Reffato; Alessandro Farinelli; Alexander Kleiner; Sarvapali D. Ramchurn; Bing Shi 002 (AAMAS, 2013)

A Fast Approach to Form Core-Stable Coalitions Based on a Dynamic Model. - Filippo Bistaffa; Alessandro Farinelli (IAT, 2013)

C-Link: A Hierarchical Clustering Approach to Large-scale Near-optimal Coalition Formation. - Alessandro Farinelli; Manuele Bicego; Sarvapali D. Ramchurn; Mauro Zucchelli (IJCAI, 2013)

Visual coverage using autonomous mobile robots for search and rescue applications. - Alessio Del Bue; Marco Tamassia; F. Signorini; Vittorio Murino; Alessandro Farinelli (SSRR, 2013)

Development of intelligent service robots. - Luca Iocchi; Emanuele Menegatti; Andrea Bonarini; Matteo Matteucci; Enrico Pagello; Luigia Carlucci Aiello; Daniele Nardi; Fulvio Mastrogiovanni; Antonio Sgorbissa; Renato Zaccaria; Rosario Sorbello; Antonio Chella; et al. (Intelligenza Artificiale, 2013)

Anytime coalition structure generation on synergy graphs. - Filippo Bistaffa; Alessandro Farinelli; Jesús Cerquides; Juan A. Rodríguez-Aguilar; Sarvapali D. Ramchurn (AAMAS, 2014)

Explorative max-sum for teams of mobile sensing agents. - Harel Yedidsion; Roie Zivan; Alessandro Farinelli (AAMAS, 2014)

Optimising memory management for Belief Propagation in Junction Trees using GPGPUs. - Filippo Bistaffa; Alessandro Farinelli; Nicola Bombieri (ICPADS, 2014)

Behavioural Biometrics Using Electricity Load Profiles. - Manuele Bicego; F. Recchia; Alessandro Farinelli; Sarvapali D. Ramchurn; Enrico Grosso (ICPR, 2014)

A directional visual descriptor for large-scale coverage problems. - Marco Tamassia; Alessandro Farinelli; Vittorio Murino; Alessio Del Bue (IROS, 2014)

A Binary Factor Graph Model for Biclustering. - Matteo Denitto; Alessandro Farinelli; Giuditta Franco; Manuele Bicego (S+SSPR, 2014)

Agent-based decentralised coordination for sensor networks using the max-sum algorithm. - Alessandro Farinelli; Alex Rogers; Nick R. Jennings (Auton. Agents Multi Agent Syst., 2014)

A Tutorial on Optimization for Multi-Agent Systems. - Jesús Cerquides; Alessandro Farinelli; Pedro Meseguer; Sarvapali D. Ramchurn (Comput. J., 2014)

A Message-Passing Approach to Decentralized Parallel Machine Scheduling. - Meritxell Vinyals; Kathryn S. Macarthur; Alessandro Farinelli; Sarvapali D. Ramchurn; Nicholas R. Jennings (Comput. J., 2014)

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

Focused Exploration for Cooperative Robotic Watercraft. - Andrea Jeradi; Masoume M. Raeissi; Alessandro Farinelli; Nathan Brooks; Paul Scerri (AIRO@AI*IA, 2015)

A Mechanism for Smoothly Handling Human Interrupts in Team Oriented Plans. - Alessandro Farinelli; Nicoló Marchi; Masoume M. Raeissi; Nathan Brooks; Paul Scerri (AAMAS, 2015)

Efficient Inter-Team Task Allocation in RoboCup Rescue. - Marc Pujol-Gonzalez; Jesús Cerquides; Alessandro Farinelli; Pedro Meseguer; Juan Antonio Rodríguez-Aguilar (AAMAS, 2015)

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

Recommending Fair Payments for Large-Scale Social Ridesharing. - Filippo Bistaffa; Alessandro Farinelli; Georgios Chalkiadakis; Sarvapali D. Ramchurn (RecSys, 2015)

Active Android malware analysis: an approach based on stochastic games. - Riccardo Sartea; Mila Dalla Preda; Alessandro Farinelli; Roberto Giacobazzi; Isabella Mastroeni (SSPREW@ACSAC, 2016)

Orienteering-based Path Selection for Mobile Sensors. - Lorenzo Bottarelli; Manuele Bicego; Jason Blum; Nicola Bombieri; Alessandro Farinelli; Luca Veggian (AIRO@AI*IA, 2016)

Coloured Petri Net Plans for Cooperative Multi-robot Systems. - Lorenzo Steccanella; Alessandro Farinelli; Luca Iocchi; Daniele Nardi (AIRO@AI*IA, 2016)

Using Petri Net Plans for Modeling UAV-UGV Cooperative Landing. - Andrea Bertolaso; Masoume M. Raeissi; Alessandro Farinelli; Riccardo Muradore (ECAI, 2016)

CUBE: A CUDA Approach for Bucket Elimination on GPUs. - Filippo Bistaffa; Nicola Bombieri; Alessandro Farinelli (ECAI, 2016)

Skeleton-Based Orienteering for Level Set Estimation. - Lorenzo Bottarelli; Manuele Bicego; Jason Blum; Alessandro Farinelli (ECAI, 2016)

Max-Sum for Allocation of Changing Cost Tasks. - James Parker; Alessandro Farinelli; Maria L. Gini (IAS, 2016)

Minimal Multiset Grammars for Recurrent Dynamics. - Alessandro Farinelli; Giuditta Franco; Romeo Rizzi (Int. Conf. on Membrane Computing, 2016)

Multiple Structure Recovery via Probabilistic Biclustering. - Matteo Denitto; Luca Magri; Alessandro Farinelli; Andrea Fusiello; Manuele Bicego (S+SSPR, 2016)

A Quantum Annealing Approach to Biclustering. - Lorenzo Bottarelli; Manuele Bicego; Matteo Denitto; Alessandra Di Pierro; Alessandro Farinelli (TPNC, 2016)

Directional Visual Descriptors and Multirobot Strategies for Large-Scale Coverage Problems. - Marco Tamassia; Alessandro Farinelli; Vittorio Murino; Alessio Del Bue (J. Field Robotics, 2016)

Activity Recognition for Autonomous Water Drones based on Unsupervised Learning Methods. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Domenico Bloisi; Jason J. Blum; Matteo Denitto; Alessandro Farinelli (AIRO@AI*IA, 2017)

EXPO-AGRI: Smart automatic greenhouse control. - Alberto Castellini; Alessandro Farinelli; Giovanni Minuto; Davide Quaglia; Iseo Secco; Federico Tinivella (BioCAS, 2017)

Dominant Set Biclustering. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Marcello Pelillo (EMMCVPR, 2017)

Fast and Power-Efficient Embedded Software Implementation of Digital Image Stabilization for Low-Cost Autonomous Boats. - Stefano Aldegheri; Domenico Daniele Bloisi; Jason J. Blum; Nicola Bombieri; Alessandro Farinelli (FSR, 2017)

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

A Monte Carlo Tree Search approach to Active Malware Analysis. - Riccardo Sartea; Alessandro Farinelli (IJCAI, 2017)

A Balking Queue Approach for Modeling Human-Multi-Robot Interaction for Water Monitoring. - Masoume M. Raeissi; Nathan Brooks; Alessandro Farinelli (PRIMA, 2017)

Path efficient level set estimation for mobile sensors. - Lorenzo Bottarelli; Jason Blum; Manuele Bicego; Alessandro Farinelli (SAC, 2017)

Biclustering of time series data using factor graphs. - Matteo Denitto; Alessandro Farinelli; Manuele Bicego (SAC, 2017)

Interacting with team oriented plans in multi-robot systems. - Alessandro Farinelli; Masoume M. Raeissi; Nicoló Marchi; Nathan Brooks; Paul Scerri (Auton. Agents Multi Agent Syst., 2017)

A cooperative game-theoretic approach to the social ridesharing problem. - Filippo Bistaffa; Alessandro Farinelli; Georgios Chalkiadakis; Sarvapali D. Ramchurn (Artif. Intell., 2017)

Distributed on-line dynamic task assignment for multi-robot patrolling. - Alessandro Farinelli; Luca Iocchi; Daniele Nardi (Auton. Robots, 2017)

A hierarchical clustering approach to large-scale near-optimal coalition formation with quality guarantees. - Alessandro Farinelli; Manuele Bicego; Filippo Bistaffa; Sarvapali D. Ramchurn (Eng. Appl. Artif. Intell., 2017)

Spike and slab biclustering. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Mário A. T. Figueiredo (Pattern Recognit., 2017)

A biclustering approach based on factor graphs and the max-sum algorithm. - Matteo Denitto; Alessandro Farinelli; Mário A. T. Figueiredo; Manuele Bicego (Pattern Recognit., 2017)

Advanced approaches for multi-robot coordination in logistic scenarios. - Alessandro Farinelli; Nicoló Boscolo; Elena Zanotto; Enrico Pagello (Robotics Auton. Syst., 2017)

An Efficient Approach for Accelerating Bucket Elimination on GPUs. - Filippo Bistaffa; Nicola Bombieri; Alessandro Farinelli (IEEE Trans. Cybern., 2017)

Algorithms for Graph-Constrained Coalition Formation in the Real World. - Filippo Bistaffa; Alessandro Farinelli; Jesús Cerquides; Juan A. Rodríguez-Aguilar; Sarvapali D. Ramchurn (ACM Trans. Intell. Syst. Technol., 2017)

Intelligent Battery Management for aquatic drones based on Task Difficulty driven POMDPs. - Alberto Castellini; Jason Blum; Domenico Bloisi; Alessandro Farinelli (AIRO@AI*IA, 2018)

Learning Queuing Strategies in Human-Multi-Robot Interaction. - Masoume M. Raeissi; Alessandro Farinelli (AAMAS, 2018)

Detection of Intelligent Agent Behaviors Using Markov Chains. - Riccardo Sartea; Alessandro Farinelli (AAMAS, 2018)

Deep Learning Waterline Detection for Low-Cost Autonomous Boats. - Lorenzo Steccanella; Domenico Bloisi; Jason Blum; Alessandro Farinelli (IAS, 2018)

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

Unsupervised activity recognition for autonomous water drones. - Alberto Castellini; Giovanni Alberto Beltrame; Manuele Bicego; Jason Blum; Matteo Denitto; Alessandro Farinelli (SAC, 2018)

Cooperative Queuing Policies for Effective Human-Multi-Robot Interaction. - Masoume M. Raeissi; Alessandro Farinelli (CoRR, 2018)

Applying max-sum to teams of mobile sensing agents. - Harel Yedidsion; Roie Zivan; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2018)

A COP Model For Graph-Constrained Coalition Formation. - Filippo Bistaffa; Alessandro Farinelli (J. Artif. Intell. Res., 2018)

On the distinctiveness of the electricity load profile. - Manuele Bicego; Alessandro Farinelli; Enrico Grosso; D. Paolini; Sarvapali D. Ramchurn (Pattern Recognit., 2018)

Lazy max-sum for allocation of tasks with growing costs. - James Parker; Alessandro Farinelli; Maria L. Gini (Robotics Auton. Syst., 2018)

Biclustering with a quantum annealer. - Lorenzo Bottarelli; Manuele Bicego; Matteo Denitto; Alessandra Di Pierro; Alessandro Farinelli; Riccardo Mengoni (Soft Comput., 2018)

Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. - Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (AIRO@AI*IA, 2019)

eXplainable Modeling (XM): Data Analysis for Intelligent Agents. - Alberto Castellini; Francesco Masillo; Riccardo Sartea; Alessandro Farinelli (AAMAS, 2019)

Agent Behavioral Analysis Based on Absorbing Markov Chains. - Riccardo Sartea; Alessandro Farinelli; Matteo Murari (AAMAS, 2019)

Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. - Fernando Lezama; Enrique Munoz de Cote; Alessandro Farinelli; João P. Soares; Tiago Pinto; Zita A. Vale (EPIA (1), 2019)

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

Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator. - Enrico Marchesini; Davide Corsi; Andrea Benfatti; Alessandro Farinelli; Paolo Fiorini (IRC, 2019)

Data Flow ORB-SLAM for Real-time Performance on Embedded GPU Boards. - Stefano Aldegheri; Nicola Bombieri; Domenico Daniele Bloisi; Alessandro Farinelli (IROS, 2019)

A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. - Matteo Olivato; Omar Cotugno; Lorenzo Brigato; Domenico Bloisi; Alessandro Farinelli; Luca Iocchi (IROS, 2019)

Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. - Federico Bianchi 002; Alberto Castellini; Pietro Tarocco; Alessandro Farinelli (LOD, 2019)

Subspace clustering for situation assessment in aquatic drones. - Alberto Castellini; Francesco Masillo; Manuele Bicego; Domenico Bloisi; Jason Blum; Alessandro Farinelli; Sergio Peignier (SAC, 2019)

Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. - Alberto Castellini; Manuele Bicego; Domenico Bloisi; Jason Blum; Francesco Masillo; Sergio Peignier; Alessandro Farinelli (Cybern. Syst., 2019)

A QUBO Model for Gaussian Process Variance Reduction. - Lorenzo Bottarelli; Alessandro Farinelli (CoRR, 2019)

Orienteering-based informative path planning for environmental monitoring. - Lorenzo Bottarelli; Manuele Bicego; Jason Blum; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2019)

Agent-Based Microgrid Scheduling: An ICT Perspective. - Fernando Lezama; Jorge Palominos; Ansel Y. Rodríguez-González; Alessandro Farinelli; Enrique Munoz de Cote (Mob. Networks Appl., 2019)

Decentralized Power Distribution in the Smart Grid with Ancillary Lines - An Approach Based on Distributed Constraint Optimization. - Michele Roncalli; Filippo Bistaffa; Alessandro Farinelli (Mob. Networks Appl., 2019)

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

HMMs for Anomaly Detection in Autonomous Robots. - Davide Azzalini; Alberto Castellini; Matteo Luperto; Alessandro Farinelli; Francesco Amigoni (AAMAS, 2020)

Decentralized Task Assignment for Multi-item Pickup and Delivery in Logistic Scenarios. - Alessandro Farinelli; Antonello Contini; Davide Zorzi (AAMAS, 2020)

Genetic Deep Reinforcement Learning for Mapless Navigation. - Enrico Marchesini; Alessandro Farinelli (AAMAS, 2020)

Bayesian Active Malware Analysis. - Riccardo Sartea; Georgios Chalkiadakis; Alessandro Farinelli; Matteo Murari (AAMAS, 2020)

POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. - Yiming Wang 002; Francesco Giuliari; Riccardo Berra; Alberto Castellini; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Francesco Setti (BMVC, 2020)

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

A Game of Double Agents: Repeated Stackelberg Games with Role Switch. - Matteo Murari; Alessandro Farinelli; Riccardo Sartea (EUMAS/AT, 2020)

Decentralised Multi-intersection Congestion Control for Connected Autonomous Vehicles. - Huan Vu; Samir Aknine; Sarvapali D. Ramchurn; Alessandro Farinelli (EUMAS/AT, 2020)

Discrete Deep Reinforcement Learning for Mapless Navigation. - Enrico Marchesini; Alessandro Farinelli (ICRA, 2020)

Formal Verification for Safe Deep Reinforcement Learning in Trajectory Generation. - Davide Corsi; Enrico Marchesini; Alessandro Farinelli; Paolo Fiorini (IRC, 2020)

XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. - Federico Bianchi 002; Francesco Masillo; Alberto Castellini; Alessandro Farinelli (LOD (1), 2020)

Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. - Federico Bianchi 002; Pietro Tarocco; Alberto Castellini; Alessandro Farinelli (LOD (1), 2020)

Cooperative Queuing Policies for Effective Scheduling of Operator Intervention. - Masoume M. Raeissi; Alessandro Farinelli (Auton. Robots, 2020)

Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification. - Davide Corsi; Enrico Marchesini; Alessandro Farinelli (CoRR, 2020)

Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. - Alberto Castellini; Manuele Bicego; Francesco Masillo; Maddalena Zuccotto; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2020)

SECUR-AMA: Active Malware Analysis Based on Monte Carlo Tree Search for Android Systems. - Riccardo Sartea; Alessandro Farinelli; Matteo Murari (Eng. Appl. Artif. Intell., 2020)

Biclustering with dominant sets. - Matteo Denitto; Manuele Bicego; Alessandro Farinelli; Sebastiano Vascon; Marcello Pelillo (Pattern Recognit., 2020)

Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. - Lorenzo Steccanella; Domenico Daniele Bloisi; Alberto Castellini; Alessandro Farinelli (Robotics Auton. Syst., 2020)

Learning Environment Properties in Partially Observable Monte Carlo Planning. - Maddalena Zuccotto; Alberto Castellini; Marco Piccinelli; Enrico Marchesini; Alessandro Farinelli (AIRO@AI*IA, 2021)

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)

Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection. - Lorenzo Brigato; Riccardo Sartea; Stefano Simonazzi; Alessandro Farinelli; Luca Iocchi; Christian Napoli 001 (ICAISC (2), 2021)

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. - Luca Marzari; Ameya Pore; Diego Dall'Alba; Gerardo Aragon-Camarasa; Alessandro Farinelli; Paolo Fiorini (ICAR, 2021)

Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning. - Enrico Marchesini; Davide Corsi; Alessandro Farinelli (ICLR, 2021)

POMP++: Pomcp-based Active Visual Search in unknown indoor environments. - Francesco Giuliari; Alberto Castellini; Riccardo Berra; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Francesco Setti; Yiming Wang 002 (IROS, 2021)

Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. - Enrico Marchesini; Davide Corsi; Alessandro Farinelli (IROS, 2021)

Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. - Enrico Marchesini; Alessandro Farinelli (IROS, 2021)

Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. - Ameya Pore; Davide Corsi; Enrico Marchesini; Diego Dall'Alba; Alicia Casals; Alessandro Farinelli; Paolo Fiorini (IROS, 2021)

Formal verification of neural networks for safety-critical tasks in deep reinforcement learning. - Davide Corsi; Enrico Marchesini; Alessandro Farinelli (UAI, 2021)

Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. - Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (Eng. Appl. Artif. Intell., 2021)

Predictive Model Generation for Load Forecasting in District Heating Networks. - Alberto Castellini; Federico Bianchi 002; Alessandro Farinelli (IEEE Intell. Syst., 2021)

Coordination approaches for multi-item pickup and delivery in logistic scenarios. - Antonello Contini; Alessandro Farinelli (Robotics Auton. Syst., 2021)

A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers. - Filippo Bistaffa; Christian Blum 001; Jesús Cerquides; Alessandro Farinelli; Juan A. Rodríguez-Aguilar (IEEE Trans. Intell. Transp. Syst., 2021)

Exploring Safer Behaviors for Deep Reinforcement Learning. - Enrico Marchesini; Davide Corsi; Alessandro Farinelli (AAAI, 2022)

Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper). - Federico Bianchi 002; Lorenzo Bonanni; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2022)

HMM-based Anomaly Interpretation for Intelligent Robots in Industry 4.0 (short paper). - Alberto Castellini; Cristian Morasso; Alessandro Farinelli (AIRO@AI*IA, 2022)

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)

Synthesis and Monitoring of Complex Tasks for Heterogeneous Robots in an Industry 4.0 Scenario. - Francesco Trotti; Eros Ghignoni; Riccardo Muradore; Alessandro Farinelli (IAS, 2022)

Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search. - Enrico Marchesini; Alessandro Farinelli (ICRA, 2022)

IoT Systems for Healthy and Safe Life Environments. - Martina Capuzzo; Andrea Zanella; Maddalena Zuccotto; Federico Cunico; Marco Cristani; Alberto Castellini; Alessandro Farinelli; Luciano Gamberini (RTSI, 2022)

Curriculum learning for safe mapless navigation. - Luca Marzari; Davide Corsi; Enrico Marchesini; Alessandro Farinelli (SAC, 2022)

Learning state-variable relationships for improving POMCP performance. - Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (SAC, 2022)

Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. - Alberto Castellini; Federico Bianchi 002; Alessandro Farinelli (Appl. Intell., 2022)

Constrained Reinforcement Learning for Robotics via Scenario-Based Programming. - Davide Corsi; Raz Yerushalmi; Guy Amir; Alessandro Farinelli; David Harel; Guy Katz (CoRR, 2022)

Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. - Maddalena Zuccotto; Marco Piccinelli; Alberto Castellini; Enrico Marchesini; Alessandro Farinelli (Frontiers Robotics AI, 2022)

Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games. - Filippo Bistaffa; Georgios Chalkiadakis; Alessandro Farinelli (IEEE Trans. Cybern., 2022)

Monte Carlo Planning for Mobile Robots in Large Action Spaces With Velocity Obstacles (short paper). - Lorenzo Bonanni; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2023)

Tabular Model Learning in Monte Carlo Tree Search. - Alberto Castellini; Davide Bragantini; Davide Rossignolo; Federico Segala; Alessandro Farinelli (IPS-RCRA-SPIRIT@AI*IA, 2023)

Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing (regular paper). - Luca Marzari; Gabriele Roncolato; Alessandro Farinelli (AIRO@AI*IA, 2023)

Safe Deep Reinforcement Learning by Verifying Task-Level Properties. - Enrico Marchesini; Luca Marzari; Alessandro Farinelli; Christopher Amato (AAMAS, 2023)

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

Inductive Logic Programming for Transparent Alignment with Multiple Moral Values. - Celeste Veronese; Daniele Meli; Filippo Bistaffa; Manel Rodriguez-Soto; Alessandro Farinelli; Juan A. Rodríguez-Aguilar (BEWARE@AI*IA, 2023)

The Post-pandemic Effects on IoT for Safety: The Safe Place Project. - Federico Cunico; Luigi Capogrosso; Alberto Castellini; Francesco Setti; Patrik Pluchino; Filippo Zordan; Valeria Santus; Anna Spagnolli; Stefano Cordibella; Giambattista Gennari; Mauro Borgo; Alberto Sozza; et al. (DATE, 2023)

An online path planner based on POMDP for UAVs. - Francesco Trotti; Alessandro Farinelli; Riccardo Muradore (ECC, 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 (ICCV (Workshops), 2023)

Scalable Safe Policy Improvement via Monte Carlo Tree Search. - Alberto Castellini; Federico Bianchi 002; Edoardo Zorzi; Thiago D. Simão; Alessandro Farinelli; Matthijs T. J. Spaan (ICML, 2023)

Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. - Luca Marzari; Enrico Marchesini; Alessandro Farinelli (ICRA, 2023)

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

Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. - Davide Corsi; Luca Marzari; Ameya Pore; Alessandro Farinelli; Alicia Casals; Paolo Fiorini; Diego Dall'Alba (IROS, 2023)

Safe and Efficient Reinforcement Learning for Environmental Monitoring. - Federico Bianchi 002; Davide Corsi; Luca Marzari; Daniele Meli; Francesco Trotti; Maddalena Zuccotto; Alberto Castellini; Alessandro Farinelli (Ital-IA, 2023)

Verifying Learning-Based Robotic Navigation Systems. - Guy Amir; Davide Corsi; Raz Yerushalmi; Luca Marzari; David Harel; Alessandro Farinelli; Guy Katz (TACAS (1), 2023)

Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing. - Luca Marzari; Gabriele Roncolato; Alessandro Farinelli (CoRR, 2023)

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

Adversarial Data Augmentation for HMM-Based Anomaly Detection. - Alberto Castellini; Francesco Masillo; Davide Azzalini; Francesco Amigoni; Alessandro Farinelli (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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

Scalable Safe Policy Improvement for Single and Multi-Agent Systems (short paper). - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2024)

What Are You Saying? Explaining Communication in Multi-Agent Reinforcement Learning (short paper). - Daniele Meli; Cristian Morasso; Alberto Castellini; Alessandro Farinelli (AIRO@AI*IA, 2024)

Towards Aircraft Autonomy Using a POMDP-Based Planner. - Francesco Trotti; Alessandro Farinelli; Riccardo Muradore (ACC, 2024)

Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. - Luca Marzari; Francesco Leofante; Ferdinando Cicalese; Alessandro Farinelli (ECAI, 2024)

Ride-Sharing in Medical Transportations: Dealing with Temporal Requirements. - Giovanni Alberto Beltrame; Carlo Combi; Alessandro Farinelli; Roberto Posenato; Giuseppe Pozzi (EDBT/ICDT Workshops, 2024)

Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK. - Cristian Morasso; Daniele Meli; Yann Divet; Salvatore Sessa 001; Alessandro Farinelli (ERF (1), 2024)

A Markov Decision Process Approach for Decentralized UAV Formation Path Planning. - Francesco Trotti; Alessandro Farinelli; Riccardo Muradore (ECC, 2024)

Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. - Federico Bianchi 002; Edoardo Zorzi; Alberto Castellini; Thiago D. Simão; Matthijs T. J. Spaan; Alessandro Farinelli (ICML, 2024)

Enforcing Specific Behaviours via Constrained DRL and Scenario-Based Programming. - Davide Corsi; Raz Yerushalmi; Guy Amir; Alessandro Farinelli; David Harel; Guy Katz (ICONIP (11), 2024)

Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation. - Francesco Taioli; Stefano Rosa; Alberto Castellini; Lorenzo Natale; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Yiming Wang 002 (IROS, 2024)

Path Re-Planning with Stochastic Obstacle Modeling: A Monte Carlo Tree Search Approach. - Francesco Trotti; Alessandro Farinelli; Riccardo Muradore (IROS, 2024)

Developing safe and explainable autonomous agents: from simulation to the real world. - Federico Bianchi 002; Alberto Castellini; Alessandro Farinelli; Luca Marzari; Daniele Meli; Francesco Trotti; Celeste Veronese (Ital-IA, 2024)

Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning. - Davide Corsi; Davide Camponogara; Alessandro Farinelli (RLJ, 2024)

I2EDL: Interactive Instruction Error Detection and Localization. - Francesco Taioli; Stefano Rosa; Alberto Castellini; Lorenzo Natale; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Yiming Wang 002 (RO-MAN, 2024)

Attention for the Allocation of Tasks in Multi-Agent Pickup and Delivery. - Adrià Fenoy; Jacopo Zagoli; Filippo Bistaffa; Alessandro Farinelli (SAC, 2024)

Reinforcement learning applications in environmental sustainability: a review. - Maddalena Zuccotto; Alberto Castellini; Davide La Torre; Lapo Mola; Alessandro Farinelli (Artif. Intell. Rev., 2024)

Analyzing Adversarial Inputs in Deep Reinforcement Learning. - Davide Corsi; Guy Amir; Guy Katz; Alessandro Farinelli (CoRR, 2024)

Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. - Francesco Taioli; Edoardo Zorzi; Gianni Franchi; Alberto Castellini; Alessandro Farinelli; Marco Cristani; Yiming Wang 002 (CoRR, 2024)

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. - Daniele Meli; Alberto Castellini; Alessandro Farinelli (J. Artif. Intell. Res., 2024)

An attention model for the formation of collectives in real-world domains. - Adrià Fenoy; Filippo Bistaffa; Alessandro Farinelli (Artif. Intell., 2024)

Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections. - Francesco Taioli; Francesco Giuliari; Yiming Wang 002; Riccardo Berra; Alberto Castellini; Alessio Del Bue; Alessandro Farinelli; Marco Cristani; Francesco Setti (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Monte Carlo Tree Search with Velocity Obstacles for Safe and Efficient Motion Planning in Dynamic Environments. - Lorenzo Bonanni; Daniele Meli; Alberto Castellini; Alessandro Farinelli (AAMAS, 2025)

Online inductive learning from answer sets for efficient reinforcement learning exploration. - Celeste Veronese; Daniele Meli; Alessandro Farinelli (CoRR, 2025)

Seldonian Reinforcement Learning for Ad Hoc Teamwork. - Edoardo Zorzi; Alberto Castellini; Leonidas Bakopoulos; Georgios Chalkiadakis; Alessandro Farinelli (CoRR, 2025)

Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting. - Davide Villaboni; Alberto Castellini; Ivan Luciano Danesi; Alessandro Farinelli (CoRR, 2025)

Depth-Constrained ASV Navigation with Deep RL and Limited Sensing. - Amirhossein Zhalehmehrabi; Daniele Meli; Francesco Dal Santo; Francesco Trotti; Alessandro Farinelli (CoRR, 2025)

Learning Symbolic Persistent Macro-Actions for POMDP Solving Over Time. - Celeste Veronese; Daniele Meli; Alessandro Farinelli (CoRR, 2025)

Advancing Neural Network Verification through Hierarchical Safety Abstract Interpretation. - Luca Marzari; Isabella Mastroeni; Alessandro Farinelli (CoRR, 2025)

Probabilistically Tightened Linear Relaxation-based Perturbation Analysis for Neural Network Verification. - Luca Marzari; Ferdinando Cicalese; Alessandro Farinelli (CoRR, 2025)

Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning Navigation. - Luca Marzari; Francesco Trotti; Enrico Marchesini; Alessandro Farinelli (IEEE Robotics Autom. Lett., 2025)