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Alessandro Farinelli
Person information
- affiliation: University of Verona, Italy
- affiliation (until 2014): Sapienza University of Rome, Italy
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2020 – today
- 2024
- [j51]Davide Corsi, Davide Camponogara, Alessandro Farinelli:
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning. RLJ 3: 1106-1123 (2024) - [j50]Adrià Fenoy, Filippo Bistaffa
, Alessandro Farinelli:
An attention model for the formation of collectives in real-world domains. Artif. Intell. 328: 104064 (2024) - [j49]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) - [j48]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) - [j47]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. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11047-11058 (2024) - [c152]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 - [c151]Francesco Trotti, Alessandro Farinelli, Riccardo Muradore:
Towards Aircraft Autonomy Using a POMDP-Based Planner. ACC 2024: 2399-2404 - [c150]Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli:
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. ECAI 2024: 1059-1066 - [c149]Giovanni Alberto Beltrame, Carlo Combi, Alessandro Farinelli, Roberto Posenato, Giuseppe Pozzi:
Ride-Sharing in Medical Transportations: Dealing with Temporal Requirements. EDBT/ICDT Workshops 2024 - [c148]Cristian Morasso, Daniele Meli, Yann Divet, Salvatore Sessa, Alessandro Farinelli:
Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK. ERF (1) 2024: 195-199 - [c147]Francesco Trotti, Alessandro Farinelli, Riccardo Muradore:
A Markov Decision Process Approach for Decentralized UAV Formation Path Planning. ECC 2024: 436-441 - [c146]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 - [c145]Francesco Trotti, Alessandro Farinelli, Riccardo Muradore:
Path Re-Planning with Stochastic Obstacle Modeling: A Monte Carlo Tree Search Approach. IROS 2024: 8017-8022 - [c144]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. IROS 2024: 12993-13000 - [c143]Federico Bianchi, Alberto Castellini, Alessandro Farinelli, Luca Marzari, Daniele Meli, Francesco Trotti, Celeste Veronese:
Developing safe and explainable autonomous agents: from simulation to the real world. Ital-IA 2024: 129-134 - [c142]Francesco Taioli, Stefano Rosa, Alberto Castellini, Lorenzo Natale, Alessio Del Bue, Alessandro Farinelli, Marco Cristani, Yiming Wang:
I2EDL: Interactive Instruction Error Detection and Localization. RO-MAN 2024: 1872-1877 - [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 - [i33]Davide Corsi, Guy Amir, Guy Katz, Alessandro Farinelli:
Analyzing Adversarial Inputs in Deep Reinforcement Learning. CoRR abs/2402.05284 (2024) - [i32]Daniele Meli, Alberto Castellini, Alessandro Farinelli:
Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach. CoRR abs/2402.19265 (2024) - [i31]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) - [i30]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) - [i29]Davide Corsi, Davide Camponogara, Alessandro Farinelli:
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning. CoRR abs/2405.20534 (2024) - [i28]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) - [i27]Luca Marzari, Francesco Leofante, Ferdinando Cicalese, Alessandro Farinelli:
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations. CoRR abs/2407.07482 (2024) - [i26]Francesco Taioli, Edoardo Zorzi, Gianni Franchi, Alberto Castellini, Alessandro Farinelli, Marco Cristani, Yiming Wang:
Collaborative Instance Navigation: Leveraging Agent Self-Dialogue to Minimize User Input. CoRR abs/2412.01250 (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]