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ORCIDAlessandro Farinelli
Person information
- affiliation: University of Verona, Italy
- affiliation (until 2014): Sapienza University of Rome, Italy
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2020 – today
- 2024
[j49]Adrià Fenoy, Filippo Bistaffa
, Alessandro Farinelli:
An attention model for the formation of collectives in real-world domains. Artif. Intell. 328: 104064 (2024)- [j48]Maddalena Zuccotto, Alberto Castellini, Davide La Torre, Lapo Mola, Alessandro Farinelli:
Reinforcement learning applications in environmental sustainability: a review. Artif. Intell. Rev. 57(4): 88 (2024) - [j47]Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. J. Artif. Intell. Res. 79: 725-776 (2024) - [c145]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese:
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. AAAI 2024: 21387-21394 - [c144]Giovanni Alberto Beltrame, Carlo Combi, Alessandro Farinelli, Roberto Posenato, Giuseppe Pozzi:
Ride-Sharing in Medical Transportations: Dealing with Temporal Requirements. EDBT/ICDT Workshops 2024 - [c143]Francesco Trotti, Alessandro Farinelli, Riccardo Muradore:
A Markov Decision Process Approach for Decentralized UAV Formation Path Planning. ECC 2024: 436-441 - [c142]Federico Bianchi, Edoardo Zorzi, Alberto Castellini, Thiago D. Simão, Matthijs T. J. Spaan, Alessandro Farinelli:
Scalable Safe Policy Improvement for Factored Multi-Agent MDPs. ICML 2024 - [c141]Adrià Fenoy, Jacopo Zagoli, Filippo Bistaffa, Alessandro Farinelli:
Attention for the Allocation of Tasks in Multi-Agent Pickup and Delivery. SAC 2024: 622-629 - [i32]Davide Corsi, Guy Amir, Guy Katz, Alessandro Farinelli:
Analyzing Adversarial Inputs in Deep Reinforcement Learning. CoRR abs/2402.05284 (2024) - [i31]Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. CoRR abs/2402.19265 (2024) - [i30]Cristian Morasso, Daniele Meli, Yann Divet, Salvatore Sessa, Alessandro Farinelli:
Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK. CoRR abs/2403.05399 (2024) - [i29]Francesco Taioli, Stefano Rosa, Alberto Castellini, Lorenzo Natale, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Yiming Wang:
Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation. CoRR abs/2403.10700 (2024) - [i28]Davide Corsi, Davide Camponogara, Alessandro Farinelli:
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning. CoRR abs/2405.20534 (2024) - [i27]Francesco Taioli, Stefano Rosa, Alberto Castellini, Lorenzo Natale, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Yiming Wang:
I2EDL: Interactive Instruction Error Detection and Localization. CoRR abs/2406.05080 (2024) - [i26]Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli:
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. CoRR abs/2407.07482 (2024) - 2023
- [j46]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Risk-aware shielding of Partially Observable Monte Carlo Planning policies. Artif. Intell. 324: 103987 (2023) - [j45]Alberto Castellini, Francesco Masillo, Davide Azzalini, Francesco Amigoni, Alessandro Farinelli:
Adversarial Data Augmentation for HMM-Based Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14131-14143 (2023) - [c140]Lorenzo Bonanni, Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Monte Carlo Planning for Mobile Robots in Large Action Spaces With Velocity Obstacles (short paper). AIRO@AI*IA 2023: 65-71 - [c139]Alberto Castellini, Davide Bragantini, Davide Rossignolo, Federico Segala, Alessandro Farinelli:
Tabular Model Learning in Monte Carlo Tree Search. IPS-RCRA-SPIRIT@AI*IA 2023 - [c138]Luca Marzari, Gabriele Roncolato, Alessandro Farinelli:
Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing (regular paper). AIRO@AI*IA 2023: 92-106 - [c137]Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Soft Policy Guidance in POMCP. AAMAS 2023: 373-381 - [c136]Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato:
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. AAMAS 2023: 1466-1475 - [c135]Celeste Veronese, Daniele Meli, Filippo Bistaffa, Manel Rodriguez-Soto, Alessandro Farinelli, Juan A. Rodríguez-Aguilar:
Inductive Logic Programming for Transparent Alignment with Multiple Moral Values. BEWARE@AI*IA 2023: 84-88 - [c134]Federico Cunico, Luigi Capogrosso, Alberto Castellini, Francesco Setti, Patrik Pluchino, Filippo Zordan, Valeria Santus, Anna Spagnolli, Stefano Cordibella, Giambattista Gennari, Mauro Borgo, Alberto Sozza, Stefano Troiano, Roberto Flor, Andrea Zanella, Alessandro Farinelli, Luciano Gamberini, Marco Cristani:
The Post-pandemic Effects on IoT for Safety: The Safe Place Project. DATE 2023: 1-4 - [c133]Francesco Trotti, Alessandro Farinelli, Riccardo Muradore:
An online path planner based on POMDP for UAVs. ECC 2023: 1-6 - [c132]Francesco Taioli, Federico Cunico, Federico Girella, Riccardo Bologna, Alessandro Farinelli, Marco Cristani:
Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language. ICCV (Workshops) 2023: 4671-4676 - [c131]Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan:
Scalable Safe Policy Improvement via Monte Carlo Tree Search. ICML 2023: 3732-3756 - [c130]Luca Marzari, Enrico Marchesini, Alessandro Farinelli:
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. ICRA 2023: 7133-7139 - [c129]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. IJCAI 2023: 217-224 - [c128]Davide Corsi, Luca Marzari, Ameya Pore, Alessandro Farinelli, Alicia Casals, Paolo Fiorini, Diego Dall'Alba:
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. IROS 2023: 10289-10294 - [c127]Federico Bianchi, Davide Corsi, Luca Marzari, Daniele Meli, Francesco Trotti, Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli:
Safe and Efficient Reinforcement Learning for Environmental Monitoring. Ital-IA 2023: 610-615 - [c126]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz:
Verifying Learning-Based Robotic Navigation Systems. TACAS (1) 2023: 607-627 - [i25]Luca Marzari, Davide Corsi, Ferdinando Cicalese, Alessandro Farinelli:
The #DNN-Verification problem: Counting Unsafe Inputs for Deep Neural Networks. CoRR abs/2301.07068 (2023) - [i24]Luca Marzari, Enrico Marchesini, Alessandro Farinelli:
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation. CoRR abs/2302.06695 (2023) - [i23]Enrico Marchesini, Luca Marzari, Alessandro Farinelli, Christopher Amato:
Safe Deep Reinforcement Learning by Verifying Task-Level Properties. CoRR abs/2302.10030 (2023) - [i22]Francesco Taioli, Francesco Giuliari, Yiming Wang, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
Unsupervised Active Visual Search with Monte Carlo planning under Uncertain Detections. CoRR abs/2303.03155 (2023) - [i21]Davide Corsi, Luca Marzari, Ameya Pore, Alessandro Farinelli, Alicia Casals, Paolo Fiorini, Diego Dall'Alba:
Constrained Reinforcement Learning and Formal Verification for Safe Colonoscopy Navigation. CoRR abs/2303.03207 (2023) - [i20]Giulio Mazzi, Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Soft Policy Guidance in POMCP. CoRR abs/2303.09172 (2023) - [i19]Francesco Taioli, Federico Cunico, Federico Girella, Riccardo Bologna, Alessandro Farinelli, Marco Cristani:
Language-enhanced RNR-Map: Querying Renderable Neural Radiance Field maps with natural language. CoRR abs/2308.08854 (2023) - [i18]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Ferdinando Cicalese:
Enumerating Safe Regions in Deep Neural Networks with Provable Probabilistic Guarantees. CoRR abs/2308.09842 (2023) - [i17]Luca Marzari, Gabriele Roncolato, Alessandro Farinelli:
Scaling #DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing. CoRR abs/2312.05890 (2023) - 2022
- [j44]Alberto Castellini, Federico Bianchi, Alessandro Farinelli:
Generation and interpretation of parsimonious predictive models for load forecasting in smart heating networks. Appl. Intell. 52(9): 9621-9637 (2022) - [j43]Maddalena Zuccotto, Marco Piccinelli, Alberto Castellini, Enrico Marchesini, Alessandro Farinelli:
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots. Frontiers Robotics AI 9 (2022) - [j42]Filippo Bistaffa, Georgios Chalkiadakis, Alessandro Farinelli:
Efficient Coalition Structure Generation via Approximately Equivalent Induced Subgraph Games. IEEE Trans. Cybern. 52(6): 5548-5558 (2022) - [c125]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Exploring Safer Behaviors for Deep Reinforcement Learning. AAAI 2022: 7701-7709 - [c124]Federico Bianchi, Lorenzo Bonanni, Alberto Castellini, Alessandro Farinelli:
Monte Carlo Tree Search Planning for Continuous Action and State Spaces (short paper). AIRO@AI*IA 2022: 38-47 - [c123]Daniele Meli, Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
From POMDP Executions to Probabilistic Axioms. OVERLAY@AI*IA 2022: 93-98 - [c122]Alberto Castellini, Cristian Morasso, Alessandro Farinelli:
HMM-based Anomaly Interpretation for Intelligent Robots in Industry 4.0 (short paper). AIRO@AI*IA 2022: 96-103 - [c121]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Active Generation of Logical Rules for POMCP Shielding. AAMAS 2022: 1696-1698 - [c120]Francesco Trotti, Eros Ghignoni, Riccardo Muradore, Alessandro Farinelli:
Synthesis and Monitoring of Complex Tasks for Heterogeneous Robots in an Industry 4.0 Scenario. IAS 2022: 737-749 - [c119]Enrico Marchesini, Alessandro Farinelli:
Enhancing Deep Reinforcement Learning Approaches for Multi-Robot Navigation via Single-Robot Evolutionary Policy Search. ICRA 2022: 5525-5531 - [c118]Martina Capuzzo, Andrea Zanella, Maddalena Zuccotto, Federico Cunico, Marco Cristani, Alberto Castellini, Alessandro Farinelli, Luciano Gamberini:
IoT Systems for Healthy and Safe Life Environments. RTSI 2022: 31-37 - [c117]Maddalena Zuccotto, Alberto Castellini, Alessandro Farinelli:
Learning state-variable relationships for improving POMCP performance. SAC 2022: 739-747 - [c116]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum learning for safe mapless navigation. SAC 2022: 766-769 - [i16]Adrià Fenoy, Filippo Bistaffa, Alessandro Farinelli:
An attention model for the formation of collectives in real-world domains. CoRR abs/2205.00215 (2022) - [i15]Guy Amir, Davide Corsi, Raz Yerushalmi, Luca Marzari, David Harel, Alessandro Farinelli, Guy Katz:
Verifying Learning-Based Robotic Navigation Systems. CoRR abs/2205.13536 (2022) - [i14]Davide Corsi, Raz Yerushalmi, Guy Amir, Alessandro Farinelli, David Harel, Guy Katz:
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming. CoRR abs/2206.09603 (2022) - 2021
- [j41]Alberto Castellini, Enrico Marchesini, Alessandro Farinelli:
Partially Observable Monte Carlo Planning with state variable constraints for mobile robot navigation. Eng. Appl. Artif. Intell. 104: 104382 (2021) - [j40]Alberto Castellini, Federico Bianchi, Alessandro Farinelli:
Predictive Model Generation for Load Forecasting in District Heating Networks. IEEE Intell. Syst. 36(4): 86-95 (2021) - [j39]Antonello Contini, Alessandro Farinelli:
Coordination approaches for multi-item pickup and delivery in logistic scenarios. Robotics Auton. Syst. 146: 103871 (2021) - [j38]Filippo Bistaffa, Christian Blum, Jesús Cerquides, Alessandro Farinelli, Juan A. Rodríguez-Aguilar:
A Computational Approach to Quantify the Benefits of Ridesharing for Policy Makers and Travellers. IEEE Trans. Intell. Transp. Syst. 22(1): 119-130 (2021) - [c115]Maddalena Zuccotto, Alberto Castellini, Marco Piccinelli, Enrico Marchesini, Alessandro Farinelli:
Learning Environment Properties in Partially Observable Monte Carlo Planning. AIRO@AI*IA 2021: 50-57 - [c114]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shielding for Partially Observable Monte-Carlo Planning. ICAPS 2021: 243-251 - [c113]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. AAMAS 2021: 889-897 - [c112]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shield Synthesis for Partially Observable Monte Carlo Planning. OVERLAY@GandALF 2021: 19-23 - [c111]Lorenzo Brigato, Riccardo Sartea, Stefano Simonazzi, Alessandro Farinelli, Luca Iocchi, Christian Napoli:
Exploiting Time Dynamics for One-Class and Open-Set Anomaly Detection. ICAISC (2) 2021: 137-148 - [c110]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. ICAR 2021: 640-645 - [c109]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning. ICLR 2021 - [c108]Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang:
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. IROS 2021: 1523-1530 - [c107]Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini:
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. IROS 2021: 4025-4031 - [c106]Enrico Marchesini, Alessandro Farinelli:
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. IROS 2021: 4583-4588 - [c105]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. IROS 2021: 5590-5595 - [c104]Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Formal verification of neural networks for safety-critical tasks in deep reinforcement learning. UAI 2021: 333-343 - [i13]Luca Marzari, Ameya Pore, Diego Dall'Alba, Gerardo Aragon-Camarasa, Alessandro Farinelli, Paolo Fiorini:
Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks. CoRR abs/2102.04022 (2021) - [i12]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Rule-based Shielding for Partially Observable Monte-Carlo Planning. CoRR abs/2104.13791 (2021) - [i11]Francesco Giuliari, Alberto Castellini, Riccardo Berra, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti, Yiming Wang:
POMP++: Pomcp-based Active Visual Search in unknown indoor environments. CoRR abs/2107.00914 (2021) - [i10]Ameya Pore, Davide Corsi, Enrico Marchesini, Diego Dall'Alba, Alicia Casals, Alessandro Farinelli, Paolo Fiorini:
Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery. CoRR abs/2109.02323 (2021) - [i9]Enrico Marchesini, Alessandro Farinelli:
Centralizing State-Values in Dueling Networks for Multi-Robot Reinforcement Learning Mapless Navigation. CoRR abs/2112.09012 (2021) - [i8]Enrico Marchesini, Davide Corsi, Alessandro Farinelli:
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation. CoRR abs/2112.10593 (2021) - [i7]Luca Marzari, Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Curriculum Learning for Safe Mapless Navigation. CoRR abs/2112.12490 (2021) - 2020
- [j37]Masoume M. Raeissi, Alessandro Farinelli:
Cooperative Queuing Policies for Effective Scheduling of Operator Intervention. Auton. Robots 44(3-4): 617-626 (2020) - [j36]Riccardo Sartea, Alessandro Farinelli, Matteo Murari:
SECUR-AMA: Active Malware Analysis Based on Monte Carlo Tree Search for Android Systems. Eng. Appl. Artif. Intell. 87 (2020) - [j35]Alberto Castellini, Manuele Bicego, Francesco Masillo, Maddalena Zuccotto, Alessandro Farinelli:
Time series segmentation for state-model generation of autonomous aquatic drones: A systematic framework. Eng. Appl. Artif. Intell. 90: 103499 (2020) - [j34]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Sebastiano Vascon, Marcello Pelillo:
Biclustering with dominant sets. Pattern Recognit. 104: 107318 (2020) - [j33]Lorenzo Steccanella, Domenico Daniele Bloisi, Alberto Castellini, Alessandro Farinelli:
Waterline and obstacle detection in images from low-cost autonomous boats for environmental monitoring. Robotics Auton. Syst. 124: 103346 (2020) - [c103]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Policy Interpretation for Partially Observable Monte-Carlo Planning: a Rule-based Approach. AIRO@AI*IA 2020: 44-48 - [c102]Davide Azzalini, Alberto Castellini, Matteo Luperto, Alessandro Farinelli, Francesco Amigoni:
HMMs for Anomaly Detection in Autonomous Robots. AAMAS 2020: 105-113 - [c101]Riccardo Sartea, Georgios Chalkiadakis, Alessandro Farinelli, Matteo Murari:
Bayesian Active Malware Analysis. AAMAS 2020: 1206-1214 - [c100]Alessandro Farinelli, Antonello Contini, Davide Zorzi:
Decentralized Task Assignment for Multi-item Pickup and Delivery in Logistic Scenarios. AAMAS 2020: 1843-1845 - [c99]Enrico Marchesini, Alessandro Farinelli:
Genetic Deep Reinforcement Learning for Mapless Navigation. AAMAS 2020: 1919-1921 - [c98]Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. BMVC 2020 - [c97]Huan Vu, Samir Aknine, Sarvapali D. Ramchurn, Alessandro Farinelli:
Decentralised Multi-intersection Congestion Control for Connected Autonomous Vehicles. EUMAS/AT 2020: 37-51 - [c96]Alberto Castellini, Enrico Marchesini, Giulio Mazzi, Alessandro Farinelli:
Explaining the Influence of Prior Knowledge on POMCP Policies. EUMAS/AT 2020: 261-276 - [c95]Matteo Murari, Alessandro Farinelli, Riccardo Sartea:
A Game of Double Agents: Repeated Stackelberg Games with Role Switch. EUMAS/AT 2020: 529-545 - [c94]Enrico Marchesini, Alessandro Farinelli:
Discrete Deep Reinforcement Learning for Mapless Navigation. ICRA 2020: 10688-10694 - [c93]Davide Corsi, Enrico Marchesini, Alessandro Farinelli, Paolo Fiorini:
Formal Verification for Safe Deep Reinforcement Learning in Trajectory Generation. IRC 2020: 352-359 - [c92]Federico Bianchi, Pietro Tarocco, Alberto Castellini, Alessandro Farinelli:
Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting. LOD (1) 2020: 244-256 - [c91]Federico Bianchi, Francesco Masillo, Alberto Castellini, Alessandro Farinelli:
XM_HeatForecast: Heating Load Forecasting in Smart District Heating Networks. LOD (1) 2020: 601-612 - [i6]Yiming Wang, Francesco Giuliari, Riccardo Berra, Alberto Castellini, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Francesco Setti:
POMP: Pomcp-based Online Motion Planning for active visual search in indoor environments. CoRR abs/2009.08140 (2020) - [i5]Davide Corsi, Enrico Marchesini, Alessandro Farinelli:
Evaluating the Safety of Deep Reinforcement Learning Models using Semi-Formal Verification. CoRR abs/2010.09387 (2020) - [i4]Giulio Mazzi, Alberto Castellini, Alessandro Farinelli:
Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: a Rule-Based Approach. CoRR abs/2012.12732 (2020)
2010 – 2019
- 2019
- [j32]Alberto Castellini, Manuele Bicego, Domenico Bloisi, Jason Blum, Francesco Masillo, Sergio Peignier, Alessandro Farinelli:
Subspace Clustering for Situation Assessment in Aquatic Drones: A Sensitivity Analysis for State-Model Improvement. Cybern. Syst. 50(8): 658-671 (2019) - [j31]Lorenzo Bottarelli, Manuele Bicego, Jason Blum, Alessandro Farinelli:
Orienteering-based informative path planning for environmental monitoring. Eng. Appl. Artif. Intell. 77: 46-58 (2019) - [j30]Michele Roncalli, Filippo Bistaffa, Alessandro Farinelli:
Decentralized Power Distribution in the Smart Grid with Ancillary Lines - An Approach Based on Distributed Constraint Optimization. Mob. Networks Appl. 24(5): 1654-1662 (2019) - [j29]Fernando Lezama, Jorge Palominos, Ansel Y. Rodríguez-González, Alessandro Farinelli, Enrique Munoz de Cote:
Agent-Based Microgrid Scheduling: An ICT Perspective. Mob. Networks Appl. 24(5): 1682-1698 (2019) - [c90]Alberto Castellini, Enrico Marchesini, Alessandro Farinelli:
Online Monte Carlo Planning for Autonomous Robots: Exploiting Prior Knowledge on Task Similarities. AIRO@AI*IA 2019: 25-32 - [c89]Riccardo Sartea, Alessandro Farinelli, Matteo Murari:
Agent Behavioral Analysis Based on Absorbing Markov Chains. AAMAS 2019: 647-655 - [c88]Alberto Castellini, Francesco Masillo, Riccardo Sartea, Alessandro Farinelli:
eXplainable Modeling (XM): Data Analysis for Intelligent Agents. AAMAS 2019: 2342-2344 - [c87]Fernando Lezama, Enrique Munoz de Cote, Alessandro Farinelli, João P. Soares, Tiago Pinto, Zita A. Vale:
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management. EPIA (1) 2019: 438-449 - [c86]Alberto Castellini, Georgios Chalkiadakis, Alessandro Farinelli:
Influence of State-Variable Constraints on Partially Observable Monte Carlo Planning. IJCAI 2019: 5540-5546 - [c85]Enrico Marchesini, Davide Corsi, Andrea Benfatti, Alessandro Farinelli, Paolo Fiorini:
Double Deep Q-Network for Trajectory Generation of a Commercial 7DOF Redundant Manipulator. IRC 2019: 421-422 - [c84]Matteo Olivato, Omar Cotugno, Lorenzo Brigato, Domenico Bloisi, Alessandro Farinelli, Luca Iocchi:
A Comparative Analysis on the use of Autoencoders for Robot Security Anomaly Detection. IROS 2019: 984-989 - [c83]Stefano Aldegheri, Nicola Bombieri, Domenico Daniele Bloisi, Alessandro Farinelli:
Data Flow ORB-SLAM for Real-time Performance on Embedded GPU Boards. IROS 2019: 5370-5375 - [c82]Federico Bianchi, Alberto Castellini, Pietro Tarocco, Alessandro Farinelli:
Load Forecasting in District Heating Networks: Model Comparison on a Real-World Case Study. LOD 2019: 553-565 - [c81]Alberto Castellini, Francesco Masillo, Manuele Bicego, Domenico Bloisi, Jason Blum, Alessandro Farinelli, Sergio Peignier:
Subspace clustering for situation assessment in aquatic drones. SAC 2019: 930-937 - [e3]Salvatore Maria Anzalone, Alessandro Farinelli, Alberto Finzi, Fulvio Mastrogiovanni:
Proceedings of the 5th Italian Workshop on Artificial Intelligence and Robotics - A workshop of the XVII International Conference of the Italian Association for Artificial Intelligence, AIRO@AI*IA 2018, Trento, Italy, November 22-23, 2018. CEUR Workshop Proceedings 2352, CEUR-WS.org 2019 [contents] - [i3]Lorenzo Bottarelli, Alessandro Farinelli:
A QUBO Model for Gaussian Process Variance Reduction. CoRR abs/1901.10982 (2019) - 2018
- [j28]Harel Yedidsion, Roie Zivan, Alessandro Farinelli:
Applying max-sum to teams of mobile sensing agents. Eng. Appl. Artif. Intell. 71: 87-99 (2018) - [j27]