@article{DBLP:journals/cgf/RosaBBASCBGA23,
title = {State of the Art of Visual Analytics for eXplainable Deep Learning},
author = {Biagio La Rosa and Graziano Blasilli and Romain Bourqui and David Auber and Giuseppe Santucci and Roberto Capobianco and Enrico Bertini and Romain Giot and Marco Angelini},
url = {https://doi.org/10.1111/cgf.14733},
doi = {10.1111/cgf.14733},
year  = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Comput. Graph. Forum},
volume = {42},
number = {1},
pages = {319\textendash355},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/apin/RosaCN23,
title = {A self-interpretable module for deep image classification on small  data},
author = {Biagio La Rosa and Roberto Capobianco and Daniele Nardi},
url = {https://doi.org/10.1007/s10489-022-03886-6},
doi = {10.1007/s10489-022-03886-6},
year  = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {Appl. Intell.},
volume = {53},
number = {8},
pages = {9115\textendash9147},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/jair/OcanaCN23,
title = {An Overview of Environmental Features that Impact Deep Reinforcement  Learning in Sparse-Reward Domains},
author = {Jim Martin Catacora Ocana and Roberto Capobianco and Daniele Nardi},
url = {https://doi.org/10.1613/jair.1.14390},
doi = {10.1613/jair.1.14390},
year  = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
journal = {J. Artif. Intell. Res.},
volume = {76},
pages = {1181\textendash1218},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{DBLP:conf/nesy/UmiliABC23,
title = {Visual Reward Machines},
author = {Elena Umili and Francesco Argenziano and Aymeric Barbin and Roberto Capobianco},
editor = {Artur S. Garcez and Tarek R. Besold and Marco Gori and Ernesto Jim\'{e}nez-Ruiz},
url = {https://ceur-ws.org/Vol-3432/paper23.pdf},
year  = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 17th International Workshop on Neural-Symbolic 
 Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 
 3-5, 2023},
volume = {3432},
pages = {255\textendash267},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{nature22,
title = {Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning},
author = {Peter R. Wurman and Samuel Barrett and Kenta Kawamoto and James MacGlashan and Kaushik Subramanian and Thomas J. Walsh and Roberto Capobianco and Alisa Devlic and Franziska Eckert and Florian Fuchs and Leilani Gilpin and Varun Kompella and Piyush Khandelwal and HaoChih Lin and Patrick MacAlpine and Declan Oller and Craig Sherstan and Takuma Seno and Michael D. Thomure and Houmehr Aghabozorgi and Leon Barrett and Rory Douglas and Dion Whitehead and Peter Duerr and Peter Stone and Michael Spranger and Hiroaki Kitano},
doi = {10.1038/s41586-021-04357-7},
year  = {2022},
date = {2022-02-10},
urldate = {2022-02-10},
journal = {Nature},
volume = {62},
issue = {7896},
pages = {223--28},
abstract = {Many potential applications of artificial intelligence 
 involve making real-time decisions in physical systems 
 while interacting with humans. Automobile racing 
 represents an extreme example of these conditions; drivers 
 must execute complex tactical manoeuvres to pass or block 
 opponents while operating their vehicles at their traction 
 limits1. Racing simulations, such as the PlayStation game 
 Gran Turismo, faithfully reproduce the non-linear control 
 challenges of real race cars while also encapsulating the 
 complex multi-agent interactions. Here we describe how we 
 trained agents for Gran Turismo that can compete with the 
 world's best e-sports drivers. We combine 
 state-of-the-art, model-free, deep reinforcement learning 
 algorithms with mixed-scenario training to learn an 
 integrated control policy that combines exceptional speed 
 with impressive tactics. In addition, we construct a 
 reward function that enables the agent to be competitive 
 while adhering to racing's important, but under-specified, 
 sportsmanship rules. We demonstrate the capabilities of 
 our agent, Gran Turismo Sophy, by winning a head-to-head 
 competition against four of the world's best Gran Turismo 
 drivers. By describing how we trained championship-level 
 racers, we demonstrate the possibilities and challenges of 
 using these techniques to control complex dynamical 
 systems in domains where agents must respect imprecisely 
 defined human norms.},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@inbook{doi:10.2514/6.2022-2085,
title = {Planetary Environment Prediction Using Generative Modeling},
author = {Shrijit Singh and Shreyansh Daftry and Roberto Capobianco},
url = {https://arc.aiaa.org/doi/abs/10.2514/6.2022-2085
https://doi.org/10.2514/6.2022-2085.vid},
doi = {10.2514/6.2022-2085},
year  = {2022},
date = {2022-01-20},
urldate = {2022-01-20},
booktitle = {AIAA SCITECH 2022 Forum},
abstract = {Planetary rovers have a limited sensory horizon and operate in environments where limited information about the surrounding terrain is available. The rough and unknown nature of the terrain in planetary environments potentially leads to scenarios where the rover gets stuck and has to replan its path frequently to escape such situations. For avoiding such scenarios, we need to exploit spatial knowledge of the environment beyond the rover’s sensor horizon. The solutions presented by existing approaches are limited to indoor environments which are structured. Predicting spatial knowledge for outdoor environments, particularly planetary environments, has not be done before. We attempt to solve planetary environment prediction by exploiting generative learning to (1) learn the distribution of spatial landmarks like rocks and craters which the rover encounter on the planetary surface during exploration and (2) predict spatial landmarks beyond the sensor horizon. We aim to utilize the proposed approach of environment prediction to improve path planning and decision-making processes needed for safe planetary navigation.},
keywords = {conference},
pubstate = {published},
tppubtype = {inbook}
}
@inproceedings{savoia2022molecule,
title = {Molecule Generation from Input-Attributions over Graph Convolutional Networks},
author = {Dylan Savoia and Alessio Ragno and Roberto Capobianco},
url = {https://arxiv.org/pdf/2202.05703},
year  = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {ELLIS Machine Learning for Molecules workshop (ML4Molecules)},
journal = {ELLIS Machine Learning for Molecules workshop (ML4Molecules)},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{ragno2022semi,
title = {Semi-Supervised GCN for learning Molecular Structure-Activity Relationships},
author = {Alessio Ragno and Dylan Savoia and Roberto Capobianco},
url = {https://arxiv.org/pdf/2202.05704},
year  = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {ELLIS Machine Learning for Molecules workshop (ML4Molecules)},
journal = {ELLIS Machine Learning for Molecules workshop (ML4Molecules)},
howpublished = {ELLIS Machine Learning for Molecules workshop (ML4Molecules)},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{proia2022ligand,
title = {Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar. com portal},
author = {Eleonora Proia and Alessio Ragno and Lorenzo Antonini and Manuela Sabatino and Milan Mladenovi\v{c} and Roberto Capobianco and Rino Ragno},
year  = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
journal = {Journal of Computer-Aided Molecular Design},
pages = {1--23},
publisher = {Springer},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/jcamd/ProiaRASMCR22,
title = {Ligand-based and structure-based studies to develop predictive models 
 for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal},
author = {Eleonora Proia and Alessio Ragno and Lorenzo Antonini and Manuela Sabatino and Milan Mladenovic and Roberto Capobianco and Rino Ragno},
url = {https://doi.org/10.1007/s10822-022-00460-7},
doi = {10.1007/s10822-022-00460-7},
year  = {2022},
date = {2022-01-01},
journal = {J. Comput. Aided Mol. Des.},
volume = {36},
number = {7},
pages = {483\textendash505},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/nature/WurmanBKMS0CDE022,
title = {Outracing champion Gran Turismo drivers with deep reinforcement learning},
author = {Peter R. Wurman and Samuel Barrett and Kenta Kawamoto and James MacGlashan and Kaushik Subramanian and Thomas J. Walsh and Roberto Capobianco and Alisa Devlic and Franziska Eckert and Florian Fuchs and Leilani Gilpin and Piyush Khandelwal and Varun Kompella and HaoChih Lin and Patrick MacAlpine and Declan Oller and Takuma Seno and Craig Sherstan and Michael D. Thomure and Houmehr Aghabozorgi and Leon Barrett and Rory Douglas and Dion Whitehead and Peter D\"{u}rr and Peter Stone and Michael Spranger and Hiroaki Kitano},
url = {https://doi.org/10.1038/s41586-021-04357-7},
doi = {10.1038/s41586-021-04357-7},
year  = {2022},
date = {2022-01-01},
journal = {Nat.},
volume = {602},
number = {7896},
pages = {223\textendash228},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{DBLP:conf/nesy/UmiliCG22,
title = {Grounding LTLf Specifications in Images},
author = {Elena Umili and Roberto Capobianco and Giuseppe De Giacomo},
editor = {Artur S. Garcez and Ernesto Jim\'{e}nez-Ruiz},
url = {https://ceur-ws.org/Vol-3212/paper4.pdf},
year  = {2022},
date = {2022-01-01},
booktitle = {Proceedings of the 16th International Workshop on Neural-Symbolic 
 Learning and Reasoning as part of the 2nd International Joint Conference 
 on Learning \& Reasoning (IJCLR 2022), Cumberland Lodge, Windsor 
 Great Park, UK, September 28-30, 2022},
volume = {3212},
pages = {45\textendash63},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/corr/abs-2202-05703,
title = {Molecule Generation from Input-Attributions over Graph Convolutional 
 Networks},
author = {Dylan Savoia and Alessio Ragno and Roberto Capobianco},
url = {https://arxiv.org/abs/2202.05703},
year  = {2022},
date = {2022-01-01},
journal = {CoRR},
volume = {abs/2202.05703},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/corr/abs-2202-05704,
title = {Semi-Supervised GCN for learning Molecular Structure-Activity Relationships},
author = {Alessio Ragno and Dylan Savoia and Roberto Capobianco},
url = {https://arxiv.org/abs/2202.05704},
year  = {2022},
date = {2022-01-01},
journal = {CoRR},
volume = {abs/2202.05704},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{LaRosa2021,
title = {A Discussion about Explainable Inference on Sequential Data via Memory-Tracking},
author = {Biagio La Rosa and Roberto Capobianco and Daniele Nardi},
url = {http://ceur-ws.org/Vol-3078/paper-24.pdf},
year  = {2021},
date = {2021-12-01},
urldate = {2021-01-01},
booktitle = {AIxIA 2021 Discussion Papers},
volume = {3078},
pages = {33-44},
publisher = {CEUR Workshop Proceedings},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{makinwa2021detection,
title = {Detection Accuracy for Evaluating Compositional Explanations of Units},
author = {Sayo M Makinwa and Biagio La Rosa and Roberto Capobianco},
year  = {2021},
date = {2021-12-01},
urldate = {2021-01-01},
booktitle = {The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{gallotta2021,
title = {Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games},
author = {Roberto Gallotta and Roberto Capobianco},
year  = {2021},
date = {2021-12-01},
urldate = {2021-01-01},
booktitle = {The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{catacora2021exploration,
title = {Exploration-Intensive Distractors: Two Environment Proposals and a Benchmarking},
author = {Jim Martin Catacora Ocana and Roberto Capobianco and Daniele Nardi},
year  = {2021},
date = {2021-12-01},
urldate = {2021-01-01},
booktitle = {The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/jair/CapobiancoKASJF21,
title = {Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies},
author = {Roberto Capobianco and Varun Kompella and James Ault and Guni Sharon and Stacy Jong and Spencer J. Fox and Lauren Ancel Meyers and Peter R. Wurman and Peter Stone},
url = {https://doi.org/10.1613/jair.1.12632},
doi = {10.1613/jair.1.12632},
year  = {2021},
date = {2021-01-01},
journal = {J. Artif. Intell. Res.},
volume = {71},
pages = {953\textendash992},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/ras/RiccioCN21,
title = {LoOP: Iterative learning for optimistic planning on robots},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {https://doi.org/10.1016/j.robot.2020.103693},
doi = {10.1016/j.robot.2020.103693},
year  = {2021},
date = {2021-01-01},
journal = {Robotics Auton. Syst.},
volume = {136},
pages = {103693},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{DBLP:conf/aiia/GallottaC21,
title = {Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games},
author = {Roberto Gallotta and Roberto Capobianco},
editor = {Stefania Bandini and Francesca Gasparini and Viviana Mascardi and Matteo Palmonari and Giuseppe Vizzari},
url = {https://doi.org/10.1007/978-3-031-08421-8_4},
doi = {10.1007/978-3-031-08421-8_4},
year  = {2021},
date = {2021-01-01},
booktitle = {AIxIA 2021 - Advances in Artificial Intelligence - 20th International 
 Conference of the Italian Association for Artificial Intelligence, 
 Virtual Event, December 1-3, 2021, Revised Selected Papers},
volume = {13196},
pages = {46\textendash58},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/aiia/OcanaCN21,
title = {Exploration-Intensive Distractors: Two Environment Proposals and a 
 Benchmarking},
author = {Jim Martin Catacora Ocana and Roberto Capobianco and Daniele Nardi},
editor = {Stefania Bandini and Francesca Gasparini and Viviana Mascardi and Matteo Palmonari and Giuseppe Vizzari},
url = {https://doi.org/10.1007/978-3-031-08421-8_29},
doi = {10.1007/978-3-031-08421-8_29},
year  = {2021},
date = {2021-01-01},
booktitle = {AIxIA 2021 - Advances in Artificial Intelligence - 20th International 
 Conference of the Italian Association for Artificial Intelligence, 
 Virtual Event, December 1-3, 2021, Revised Selected Papers},
volume = {13196},
pages = {413\textendash428},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/aiia/MakinwaRC21,
title = {Detection Accuracy for Evaluating Compositional Explanations of Units},
author = {Sayo M. Makinwa and Biagio La Rosa and Roberto Capobianco},
editor = {Stefania Bandini and Francesca Gasparini and Viviana Mascardi and Matteo Palmonari and Giuseppe Vizzari},
url = {https://doi.org/10.1007/978-3-031-08421-8_38},
doi = {10.1007/978-3-031-08421-8_38},
year  = {2021},
date = {2021-01-01},
booktitle = {AIxIA 2021 - Advances in Artificial Intelligence - 20th International 
 Conference of the Italian Association for Artificial Intelligence, 
 Virtual Event, December 1-3, 2021, Revised Selected Papers},
volume = {13196},
pages = {550\textendash563},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/atal/SharonASKC21,
title = {Multiagent Epidemiologic Inference through Realtime Contact Tracing},
author = {Guni Sharon and James Ault and Peter Stone and Varun Kompella and Roberto Capobianco},
editor = {Frank Dignum and Alessio Lomuscio and Ulle Endriss and Ann Now\'{e}},
url = {https://www.ifaamas.org/Proceedings/aamas2021/pdfs/p1182.pdf},
doi = {10.5555/3463952.3464089},
year  = {2021},
date = {2021-01-01},
booktitle = {AAMAS '21: 20th International Conference on Autonomous Agents and 
 Multiagent Systems, Virtual Event, United Kingdom, May 3-7, 2021},
pages = {1182\textendash1190},
publisher = {ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/cvpr/CiabattiDC21,
title = {Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer 
 Learning},
author = {Giulia Ciabatti and Shreyansh Daftry and Roberto Capobianco},
url = {https://openaccess.thecvf.com/content/CVPR2021W/AI4Space/html/Ciabatti_Autonomous_Planetary_Landing_via_Deep_Reinforcement_Learning_and_Transfer_Learning_CVPRW_2021_paper.html},
doi = {10.1109/CVPRW53098.2021.00231},
year  = {2021},
date = {2021-01-01},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, 
 CVPR Workshops 2021, virtual, June 19-25, 2021},
pages = {2031\textendash2038},
publisher = {Computer Vision Foundation / IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/corr/abs-2106-01440,
title = {Memory Wrap: a Data-Efficient and Interpretable Extension to Image 
 Classification Models},
author = {Biagio La Rosa and Roberto Capobianco and Daniele Nardi},
url = {https://arxiv.org/abs/2106.01440},
year  = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2106.01440},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/corr/abs-2109-07804,
title = {Detection Accuracy for Evaluating Compositional Explanations of Units},
author = {Sayo M. Makinwa and Biagio La Rosa and Roberto Capobianco},
url = {https://arxiv.org/abs/2109.07804},
year  = {2021},
date = {2021-01-01},
journal = {CoRR},
volume = {abs/2109.07804},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{sharon2021covid,
title = {Multiagent Epidemiologic Inference through Realtime Contact Tracing},
author = {Guni Sharon and James Ault and Peter Stone and Varun Kompella and Roberto Capobianco},
url = {https://dl.acm.org/doi/10.5555/3463952.3464089},
year  = {2021},
date = {2021-00-00},
booktitle = {Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021)},
address = {London, UK},
organization = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Ciabatti2021,
title = {Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning},
author = {Giulia Ciabatti and Shreyansh Daftry and Roberto Capobianco},
url = {https://openaccess.thecvf.com/content/CVPR2021W/AI4Space/papers/Ciabatti_Autonomous_Planetary_Landing_via_Deep_Reinforcement_Learning_and_Transfer_Learning_CVPRW_2021_paper.pdf},
year  = {2021},
date = {2021-00-00},
urldate = {2021-00-00},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
pages = {2031-2038},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{capobianco2021covid,
title = {Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies},
author = {Roberto Capobianco and Varun Kompella and James Ault and Guni Sharon and Stacy Jong and Spencer Fox and Lauren Meyers and Peter R. Wurman and Peter Stone},
url = {https://doi.org/10.1613/jair.1.12632},
doi = {10.1613/jair.1.12632},
year  = {2020},
date = {2020-08-17},
urldate = {2020-08-17},
journal = {Journal of Artificial Intelligence Research (JAIR)},
volume = {71},
pages = {953--992},
publisher = {Association for the Advancement of Artificial Intelligence},
abstract = {The year 2020 saw the covid-19 virus lead to one of the worst global pandemics in history. As a result, governments around the world have been faced with the challenge of protecting public health while keeping the economy running to the greatest extent possible. Epidemiological models provide insight into the spread of these types of diseases and predict the effects of possible intervention policies. However, to date, even the most data-driven intervention policies rely on heuristics. In this paper, we study how reinforcement learning (RL) and Bayesian inference can be used to optimize mitigation policies that minimize economic impact without overwhelming hospital capacity. Our main contributions are (1) a novel agent-based pandemic simulator which, unlike traditional models, is able to model fine-grained interactions among people at specific locations in a community; (2) an RLbased methodology for optimizing fine-grained mitigation policies within this simulator; and (3) a Hidden Markov Model for predicting infected individuals based on partial observations regarding test results, presence of symptoms, and past physical contacts.},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{LaRosa2020,
title = {Explainable Inference on Sequential Data via Memory-Tracking},
author = {Biagio La Rosa and Roberto Capobianco and Daniele Nardi},
url = {https://doi.org/10.24963/ijcai.2020/278},
doi = {10.24963/ijcai.2020/278},
year  = {2020},
date = {2020-07-02},
urldate = {2020-07-02},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}},
pages = {2006--2013},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
note = {12.6% acceptance rate},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Riccio2020,
title = {GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
year  = {2020},
date = {2020-01-01},
booktitle = {Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
address = {Auckland, New Zealand},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/atal/RiccioCN20,
title = {GUESs: Generative modeling of Unknown Environments and Spatial Abstraction 
 for Robots},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
editor = {Amal El Fallah Seghrouchni and Gita Sukthankar and Bo An and Neil Yorke-Smith},
url = {https://dl.acm.org/doi/10.5555/3398761.3399047},
doi = {10.5555/3398761.3399047},
year  = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the 19th International Conference on Autonomous Agents 
 and Multiagent Systems, AAMAS '20, Auckland, New Zealand, May 9-13, 
 2020},
pages = {1978\textendash1980},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/ijcai/RosaCN20,
title = {Explainable Inference on Sequential Data via Memory-Tracking},
author = {Biagio La Rosa and Roberto Capobianco and Daniele Nardi},
editor = {Christian Bessiere},
url = {https://doi.org/10.24963/ijcai.2020/278},
doi = {10.24963/ijcai.2020/278},
year  = {2020},
date = {2020-01-01},
booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on 
 Artificial Intelligence, IJCAI 2020},
pages = {2006\textendash2013},
publisher = {ijcai.org},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/corr/abs-2010-10560,
title = {Reinforcement Learning for Optimization of COVID-19 Mitigation policies},
author = {Varun Kompella and Roberto Capobianco and Stacy Jong and Jonathan Browne and Spencer J. Fox and Lauren Ancel Meyers and Peter R. Wurman and Peter Stone},
url = {https://arxiv.org/abs/2010.10560},
year  = {2020},
date = {2020-01-01},
journal = {CoRR},
volume = {abs/2010.10560},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{RICCIO2021103693,
title = {LoOP: Iterative learning for optimistic planning on robots},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {http://www.sciencedirect.com/science/article/pii/S0921889020305339},
doi = {https://doi.org/10.1016/j.robot.2020.103693},
issn = {0921-8890},
year  = {2020},
date = {2020-00-00},
journal = {Robotics and Autonomous Systems},
pages = {103693},
abstract = {Efficient robotic behaviors require robustness and adaptation to dynamic changes of the environment, whose characteristics rapidly vary during robot operation. To generate effective robot action policies, planning and learning techniques have shown the most promising results. However, if considered individually, they present different limitations. Planning techniques lack generalization among similar states and require experts to define behavioral routines at different levels of abstraction. Conversely, learning methods usually require a considerable number of training samples and iterations of the algorithm. To overcome these issues, and to efficiently generate robot behaviors, we introduce LoOP, an iterative learning algorithm for optimistic planning that combines state-of-the-art planning and learning techniques to generate action policies. The main contribution of LoOP is the combination of Monte-Carlo Search Planning and Q-learning, which enables focused exploration during policy refinement in different robotic applications. We demonstrate the robustness and flexibility of LoOP in various domains and multiple robotic platforms, by validating the proposed approach with an extensive experimental evaluation. volume = 136},
keywords = {Autonomous planning and learning, Deep robot reinforcement learning, journal, Monte-Carlo planning, Q-learning},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{Kompella2020,
title = {Reinforcement Learning for Optimization of COVID-19 Mitigation policies},
author = {Varun Kompella and Roberto Capobianco and Stacy Jong and Jonathan Browne and Spencer Fox and Lauren Meyers and Peter Wurman and Peter Stone},
url = {https://arxiv.org/pdf/2010.10560},
year  = {2020},
date = {2020-00-00},
urldate = {2020-00-00},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{catacora2019cooperative,
title = {Cooperative multi-agent deep reinforcement learning in a 2 versus 2 free-kick task},
author = {Jim Martin Catacora Ocana and Francesco Riccio and Roberto Capobianco and Daniele Nardi},
year  = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {Robot World Cup},
pages = {44--57},
organization = {Springer},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/aiia/JaramilloCRN19,
title = {S-AVE: Semantic Active Vision Exploration and Mapping of Indoor 
 Environments for Mobile Robots},
author = {Jos\'{e} V. Jaramillo and Roberto Capobianco and Francesco Riccio and Daniele Nardi},
editor = {Salvatore Maria Anzalone and Luca Buoncompagni and Alberto Castellini and Alberto Finzi},
url = {https://ceur-ws.org/Vol-2594/short9.pdf},
year  = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 6th Italian Workshop on Artificial Intelligence 
 and Robotics co-located with the XVIII International Conference 
 of the Italian Association for Artificial Intelligence (AI*IA 2019), 
 Rende, Italy, November 22, 2019},
volume = {2594},
pages = {47\textendash52},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/atal/OcanaRCN19,
title = {Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains},
author = {Jim Martin Catacora Ocana and Francesco Riccio and Roberto Capobianco and Daniele Nardi},
editor = {Edith Elkind and Manuela Veloso and Noa Agmon and Matthew E. Taylor},
url = {http://dl.acm.org/citation.cfm?id=3331945},
year  = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 18th International Conference on Autonomous Agents 
 and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 
 2019},
pages = {1865\textendash1867},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/robocup/OcanaRCN19,
title = {Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 
 2 Free-Kick Task},
author = {Jim Martin Catacora Ocana and Francesco Riccio and Roberto Capobianco and Daniele Nardi},
editor = {Stephan K. Chalup and Tim Niem\"{u}ller and Jackrit Suthakorn and Mary-Anne Williams},
url = {https://doi.org/10.1007/978-3-030-35699-6_4},
doi = {10.1007/978-3-030-35699-6_4},
year  = {2019},
date = {2019-01-01},
booktitle = {RoboCup 2019: Robot World Cup XXIII [Sydney, NSW, Australia, July 
 8, 2019]},
volume = {11531},
pages = {44\textendash57},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Capobianco2018,
title = {Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation},
author = {Roberto Capobianco and Francesco Riccio and Daniele Nardi},
year  = {2018},
date = {2018-04-20},
booktitle = {Intelligent Autonomous Systems 15},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Riccio2018b,
title = {DOP: Deep Optimistic Planning with Approximate Value Function Evaluation},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
year  = {2018},
date = {2018-01-31},
booktitle = {Proceedings of the 2018 International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Riccio2018,
title = {Q-CP: Learning Action Values for Cooperative Planning},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {https://arxiv.org/pdf/1803.00297.pdf},
year  = {2018},
date = {2018-01-30},
booktitle = {2018 IEEE International Conference on Robotics and Automation (ICRA)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/atal/RiccioCN18,
title = {DOP: Deep Optimistic Planning with Approximate Value Function Evaluation},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
editor = {Elisabeth Andr\'{e} and Sven Koenig and Mehdi Dastani and Gita Sukthankar},
url = {http://dl.acm.org/citation.cfm?id=3238123},
year  = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 17th International Conference on Autonomous Agents 
 and MultiAgent Systems, AAMAS 2018, Stockholm, Sweden, July 10-15, 
 2018},
pages = {2210\textendash2212},
publisher = {International Foundation for Autonomous Agents and Multiagent Systems 
 Richland, SC, USA / ACM},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/ias/CapobiancoRN18,
title = {HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy 
 Generation},
author = {Roberto Capobianco and Francesco Riccio and Daniele Nardi},
editor = {Marcus Strand and R\"{u}diger Dillmann and Emanuele Menegatti and Stefano Ghidoni},
url = {https://doi.org/10.1007/978-3-030-01370-7_33},
doi = {10.1007/978-3-030-01370-7_33},
year  = {2018},
date = {2018-01-01},
booktitle = {Intelligent Autonomous Systems 15 - Proceedings of the 15th International 
 Conference IAS-15, Baden-Baden, Germany, June 11-15, 2018},
volume = {867},
pages = {414\textendash427},
publisher = {Springer},
series = {Advances in Intelligent Systems and Computing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/icra/RiccioCN18,
title = {Q-CP: Learning Action Values for Cooperative Planning},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {https://doi.org/10.1109/ICRA.2018.8460180},
doi = {10.1109/ICRA.2018.8460180},
year  = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE International Conference on Robotics and Automation, ICRA 
 2018, Brisbane, Australia, May 21-25, 2018},
pages = {6469\textendash6475},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/iros/LazaroCG18,
title = {Efficient Long-term Mapping in Dynamic Environments},
author = {Maria Teresa Lazaro and Roberto Capobianco and Giorgio Grisetti},
url = {https://doi.org/10.1109/IROS.2018.8594310},
doi = {10.1109/IROS.2018.8594310},
year  = {2018},
date = {2018-01-01},
booktitle = {2018 IEEE/RSJ International Conference on Intelligent Robots and 
 Systems, IROS 2018, Madrid, Spain, October 1-5, 2018},
pages = {153\textendash160},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/corr/abs-1803-00297,
title = {Q-CP: Learning Action Values for Cooperative Planning},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {http://arxiv.org/abs/1803.00297},
year  = {2018},
date = {2018-01-01},
journal = {CoRR},
volume = {abs/1803.00297},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/corr/abs-1803-08501,
title = {DOP: Deep Optimistic Planning with Approximate Value Function Evaluation},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {http://arxiv.org/abs/1803.08501},
year  = {2018},
date = {2018-01-01},
journal = {CoRR},
volume = {abs/1803.08501},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@phdthesis{Capobianco2017,
title = {Interactive Generation and Learning of Semantic-Driven Robot Behaviors},
author = {Roberto Capobianco},
url = {https://robertocapobianco.com/publications/thesis.pdf},
year  = {2017},
date = {2017-02-21},
school = {Sapienza University of Rome},
keywords = {thesis},
pubstate = {published},
tppubtype = {phdthesis}
}
@incollection{Iocchi2017,
title = {RoCKIn@Home: Domestic Robots Challenge},
author = {Luca Iocchi and Gerhard K. Kraetzschmar and Daniele Nardi and Pedro U Lima and Pedro Miraldo and Emanuele Bastianelli and Roberto Capobianco},
url = {https://www.intechopen.com/books/rockin-benchmarking-through-robot-competitions/rockin-home-domestic-robots-challenge},
doi = {10.5772/intechopen.70015},
isbn = {978-953-51-3374-2},
year  = {2017},
date = {2017-01-01},
booktitle = {RoCKIn - Benchmarking Through Robot Competitions},
publisher = {InTech},
address = {Rijeka},
chapter = {03},
keywords = {chapters},
pubstate = {published},
tppubtype = {incollection}
}
@phdthesis{DBLP:phd/basesearch/Ita17d,
title = {Interactive generation and learning of semantic-driven robot behaviors},
author = {Roberto Capobianco},
url = {http://hdl.handle.net/11573/942393},
year  = {2017},
date = {2017-01-01},
school = {Sapienza University of Rome, Italy},
keywords = {},
pubstate = {published},
tppubtype = {phdthesis}
}
@inproceedings{Riccio2016b,
title = {Learning Human-Robot Handovers Through π-STAM: Policy Improvement  With Spatio-Temporal Affordance Maps},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {https://arxiv.org/pdf/1610.02609v1.pdf},
doi = {10.1109/HUMANOIDS.2016.7803373},
year  = {2016},
date = {2016-11-17},
booktitle = {2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids)},
pages = {857-863},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Venkatraman2016,
title = {Improved Learning of Dynamics Models for Control},
author = {Arun Venkatraman and Roberto Capobianco and Lerrel Pinto and Martial Hebert and Daniele Nardi and James A. Bagnell},
url = {https://robertocapobianco.com/publications/ISER16.pdf},
year  = {2016},
date = {2016-07-01},
booktitle = {The 15th International Symposium on Experimental Robotics (ISER-2016)},
journal = {The 15th International Symposium on Experimental Robotics (ISER-2016)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Sun2016,
title = {Learning to Smooth with Bidirectional Predictive State Inference Machines},
author = {Wen Sun and Roberto Capobianco and Geoff J. Gordon and James A. Bagnell and Byron Boots},
url = {https://robertocapobianco.com/publications/UAI16.pdf
https://robertocapobianco.com/publications/UAI16_appendix.pdf},
year  = {2016},
date = {2016-06-01},
booktitle = {Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI-2016)},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Riccio2016,
title = {STAM: A Framework for Spatio-Temporal Affordance Maps},
author = {Francesco Riccio and Roberto Capobianco and Marc Hanheide and Daniele Nardi},
url = {https://robertocapobianco.com/publications/MESAS16.pdf
http://arxiv.org/abs/1607.00354},
year  = {2016},
date = {2016-06-01},
booktitle = {Proceedings of the 2016 Modelling and Simulation for Autonomous Systems (MESAS'16) Workshop},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Riccio2016a,
title = {Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {https://www.robertocapobianco.com/publications/RCSymp16.pdf
https://arxiv.org/abs/1606.00285},
year  = {2016},
date = {2016-06-01},
booktitle = {Proceedings of the 20th International RoboCup Symposium},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{Gemignani2016,
title = {Living with Robots: Interactive Environmental Knowledge Acquisition},
author = {Guglielmo Gemignani and Roberto Capobianco and Emanuele Bastianelli and Domenico Bloisi and Luca Iocchi and Daniele Nardi},
url = {https://robertocapobianco.com/publications/RAS15.pdf},
doi = {10.1016/j.robot.2015.11.001},
year  = {2016},
date = {2016-04-01},
journal = {Robotics and Autonomous Systems},
volume = {78},
pages = {1-16},
publisher = {Elsevier},
keywords = {journal},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{Capobianco2016,
title = {Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics},
author = {Roberto Capobianco and Guglielmo Gemignani and Luca Iocchi and Daniele Nardi and Francesco Riccio and Andrea Vanzo},
url = {http://www.aaai.org/ocs/index.php/WS/AAAIW16/paper/download/12580/12455},
year  = {2016},
date = {2016-01-01},
booktitle = {AAAI Symbiotic Cognitive Systems Workshop},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/ras/GemignaniCBBIN16,
title = {Living with robots: Interactive environmental knowledge acquisition},
author = {Guglielmo Gemignani and Roberto Capobianco and Emanuele Bastianelli and Domenico Daniele Bloisi and Luca Iocchi and Daniele Nardi},
url = {https://doi.org/10.1016/j.robot.2015.11.001},
doi = {10.1016/j.robot.2015.11.001},
year  = {2016},
date = {2016-01-01},
journal = {Robotics Auton. Syst.},
volume = {78},
pages = {1\textendash16},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{DBLP:conf/aaai/CapobiancoGINRV16,
title = {Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and 
 Social Robotics},
author = {Roberto Capobianco and Guglielmo Gemignani and Luca Iocchi and Daniele Nardi and Francesco Riccio and Andrea Vanzo},
editor = {Jeffrey O. Kephart and Stephanie Rosenthal and Manuela M. Veloso and Alex Rudnicky},
url = {http://www.aaai.org/ocs/index.php/WS/AAAIW16/paper/view/12580},
year  = {2016},
date = {2016-01-01},
booktitle = {Symbiotic Cognitive Systems, Papers from the 2016 AAAI Workshop, 
 Phoenix, Arizona, USA, February 13, 2016},
volume = {WS-16-14},
publisher = {AAAI Press},
series = {AAAI Technical Report},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/humanoids/RiccioCN16,
title = {Learning human-robot handovers through (pi)-STAM: Policy improvement 
 with spatio-temporal affordance maps},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {https://doi.org/10.1109/HUMANOIDS.2016.7803373},
doi = {10.1109/HUMANOIDS.2016.7803373},
year  = {2016},
date = {2016-01-01},
booktitle = {16th IEEE-RAS International Conference on Humanoid Robots, Humanoids 
 2016, Cancun, Mexico, November 15-17, 2016},
pages = {857\textendash863},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/iser/VenkatramanCPHN16,
title = {Improved Learning of Dynamics Models for Control},
author = {Arun Venkatraman and Roberto Capobianco and Lerrel Pinto and Martial Hebert and Daniele Nardi and J. Andrew Bagnell},
editor = {Dana Kulic and Yoshihiko Nakamura and Oussama Khatib and Gentiane Venture},
url = {https://doi.org/10.1007/978-3-319-50115-4_61},
doi = {10.1007/978-3-319-50115-4_61},
year  = {2016},
date = {2016-01-01},
booktitle = {International Symposium on Experimental Robotics, ISER 2016, Tokyo, 
 Japan, October 3-6, 2016},
volume = {1},
pages = {703\textendash713},
publisher = {Springer},
series = {Springer Proceedings in Advanced Robotics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/mesas/RiccioCHN16,
title = {STAM: A Framework for Spatio-Temporal Affordance Maps},
author = {Francesco Riccio and Roberto Capobianco and Marc Hanheide and Daniele Nardi},
editor = {Jan Hodick\'{y}},
url = {https://doi.org/10.1007/978-3-319-47605-6_22},
doi = {10.1007/978-3-319-47605-6_22},
year  = {2016},
date = {2016-01-01},
booktitle = {Modelling and Simulation for Autonomous Systems - Third International 
 Workshop, MESAS 2016, Rome, Italy, June 15-16, 2016, Revised Selected 
 Papers},
volume = {9991},
pages = {271\textendash280},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/robocup/RiccioCN16,
title = {Using Monte Carlo Search with Data Aggregation to Improve Robot Soccer 
 Policies},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
editor = {Sven Behnke and Raymond Sheh and Sanem Sariel and Daniel D. Lee},
url = {https://doi.org/10.1007/978-3-319-68792-6_21},
doi = {10.1007/978-3-319-68792-6_21},
year  = {2016},
date = {2016-01-01},
booktitle = {RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30 - July 
 4, 2016]},
volume = {9776},
pages = {256\textendash267},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/uai/SunCGBB16,
title = {Learning to Smooth with Bidirectional Predictive State Inference Machines},
author = {Wen Sun and Roberto Capobianco and Geoffrey J. Gordon and J. Andrew Bagnell and Byron Boots},
editor = {Alexander Ihler and Dominik Janzing},
url = {http://auai.org/uai2016/proceedings/papers/138.pdf},
year  = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the Thirty-Second Conference on Uncertainty in Artificial 
 Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA},
publisher = {AUAI Press},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/corr/RiccioCN16,
title = {Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer 
 Policies},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {http://arxiv.org/abs/1606.00285},
year  = {2016},
date = {2016-01-01},
journal = {CoRR},
volume = {abs/1606.00285},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/corr/CapobiancoSDGIN16,
title = {A Proposal for Semantic Map Representation and Evaluation},
author = {Roberto Capobianco and Jacopo Serafin and Johann Dichtl and Giorgio Grisetti and Luca Iocchi and Daniele Nardi},
url = {http://arxiv.org/abs/1606.03719},
year  = {2016},
date = {2016-01-01},
journal = {CoRR},
volume = {abs/1606.03719},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/corr/RiccioCHN16,
title = {STAM: A Framework for Spatio-Temporal Affordance Maps},
author = {Francesco Riccio and Roberto Capobianco and Marc Hanheide and Daniele Nardi},
url = {http://arxiv.org/abs/1607.00354},
year  = {2016},
date = {2016-01-01},
journal = {CoRR},
volume = {abs/1607.00354},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@article{DBLP:journals/corr/RiccioCN16a,
title = {Learning Human-Robot Handovers Through (pi)-STAM: Policy Improvement 
 With Spatio-Temporal Affordance Maps},
author = {Francesco Riccio and Roberto Capobianco and Daniele Nardi},
url = {http://arxiv.org/abs/1610.02609},
year  = {2016},
date = {2016-01-01},
journal = {CoRR},
volume = {abs/1610.02609},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{Capobianco2015,
title = {A Proposal for Semantic Map Representation and Evaluation},
author = {Roberto Capobianco and Jacopo Serafin and Johann Dichtl and Giorgio Grisetti and Luca Iocchi and Daniele Nardi},
url = {https://robertocapobianco.com/publications/ECMR15.pdf
https://arxiv.org/abs/1606.03719},
doi = {10.1109/ECMR.2015.7324198},
year  = {2015},
date = {2015-01-01},
booktitle = {Mobile Robots (ECMR), 2015 European Conference on},
pages = {1-6},
publisher = {IEEE},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Gemignani2015,
title = {Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics},
author = {Guglielmo Gemignani and Roberto Capobianco and Daniele Nardi},
url = {https://robertocapobianco.com/publications/AIIA15.pdf},
doi = {10.1007/978-3-319-24309-2_34},
isbn = {978-3-319-24308-5},
year  = {2015},
date = {2015-01-01},
booktitle = {AI*IA 2015 Advances in Artificial Intelligence},
journal = {AI*IA},
pages = {452-464},
publisher = {Springer International Publishing},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/aiia/GemignaniCN15,
title = {Approaching Qualitative Spatial Reasoning About Distances and Directions 
 in Robotics},
author = {Guglielmo Gemignani and Roberto Capobianco and Daniele Nardi},
editor = {Marco Gavanelli and Evelina Lamma and Fabrizio Riguzzi},
url = {https://doi.org/10.1007/978-3-319-24309-2_34},
doi = {10.1007/978-3-319-24309-2_34},
year  = {2015},
date = {2015-01-01},
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publisher = {Springer},
series = {Lecture Notes in Computer Science},
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@inproceedings{DBLP:conf/ecmr/CapobiancoSDGIN15,
title = {A proposal for semantic map representation and evaluation},
author = {Roberto Capobianco and Jacopo Serafin and Johann Dichtl and Giorgio Grisetti and Luca Iocchi and Daniele Nardi},
url = {https://doi.org/10.1109/ECMR.2015.7324198},
doi = {10.1109/ECMR.2015.7324198},
year  = {2015},
date = {2015-01-01},
booktitle = {2015 European Conference on Mobile Robots, ECMR 2015, Lincoln, United 
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pages = {1\textendash6},
publisher = {IEEE},
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tppubtype = {inproceedings}
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@inproceedings{Capobianco2014,
title = {Automatic Extraction of Structural Representations of Environments},
author = {Roberto Capobianco and Guglielmo Gemignani and Domenico Bloisi and Daniele Nardi and Luca Iocchi},
url = {https://robertocapobianco.com/publications/IAS13.pdf},
doi = {10.1007/978-3-319-08338-4_52},
isbn = {978-3-319-08337-7},
year  = {2014},
date = {2014-01-01},
booktitle = {Intelligent Autonomous Systems 13},
pages = {721-733},
publisher = {Springer International Publishing},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Capobianco2014a,
title = {Robust and Incremental Robot Learning by Imitation},
author = {Roberto Capobianco},
url = {https://robertocapobianco.com/publications/DWAI-2014.pdf},
issn = {1613-0073},
year  = {2014},
date = {2014-01-01},
booktitle = {Second Doctoral Workshop in Artificial Intelligence},
volume = {1334},
pages = {82-91},
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@inproceedings{Capobianco2014b,
title = {Knowledge-Based Reasoning on Semantic Maps},
author = {Roberto Capobianco and Guglielmo Gemignani and Daniele Nardi and Domenico Bloisi and Luca Iocchi},
url = {https://robertocapobianco.com/publications/KRR-AAAI14SS.pdf},
year  = {2014},
date = {2014-01-01},
booktitle = {Knowledge Representation and Reasoning in Robotics, AAAI Spring Symposium 2014},
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pubstate = {published},
tppubtype = {inproceedings}
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@inproceedings{Gemignani2014,
title = {Interactive Semantic Mapping: Experimental Evaluation},
author = {Guglielmo Gemignani and Daniele Nardi and Domenico Bloisi and Roberto Capobianco and Luca Iocchi},
url = {https://robertocapobianco.com/publications/ISER14.pdf},
doi = {10.1007/978-3-319-23778-7_23},
isbn = {978-3-319-23777-0},
year  = {2014},
date = {2014-01-01},
booktitle = {Experimental Robotics - The 14th International Symposium on Experimental Robotics},
pages = {339-355},
publisher = {Springer International Publishing},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/aiia/Capobianco14,
title = {Robust and Incremental Robot Learning by Imitation},
author = {Roberto Capobianco},
editor = {Luigi Di Caro and Carmine Dodaro and Andrea Loreggia and Roberto Navigli and Alan Perotti and Manuela Sanguinetti},
url = {https://ceur-ws.org/Vol-1334/idea3.pdf},
year  = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Second Doctoral Workshop in Artificial Intelligence 
 (DWAI 2014) An official workshop of the 13th Symposium of the Italian 
 Association for Artificial Intelligence "Artificial Intelligence for 
 Society and Economy" (AI*IA 2014), Pisa, Italy, December 11, 2014},
volume = {1334},
pages = {82\textendash91},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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@inproceedings{DBLP:conf/ias/CapobiancoGBNI14,
title = {Automatic Extraction of Structural Representations of Environments},
author = {Roberto Capobianco and Guglielmo Gemignani and Domenico Daniele Bloisi and Daniele Nardi and Luca Iocchi},
editor = {Emanuele Menegatti and Nathan Michael and Karsten Berns and Hiroaki Yamaguchi},
url = {https://doi.org/10.1007/978-3-319-08338-4_52},
doi = {10.1007/978-3-319-08338-4_52},
year  = {2014},
date = {2014-01-01},
booktitle = {Intelligent Autonomous Systems 13 - Proceedings of the 13th International 
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volume = {302},
pages = {721\textendash733},
publisher = {Springer},
series = {Advances in Intelligent Systems and Computing},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/iser/GemignaniNBCI14,
title = {Interactive Semantic Mapping: Experimental Evaluation},
author = {Guglielmo Gemignani and Daniele Nardi and Domenico Daniele Bloisi and Roberto Capobianco and Luca Iocchi},
editor = {M. Ani Hsieh and Oussama Khatib and Vijay Kumar},
url = {https://doi.org/10.1007/978-3-319-23778-7_23},
doi = {10.1007/978-3-319-23778-7_23},
year  = {2014},
date = {2014-01-01},
booktitle = {Experimental Robotics - The 14th International Symposium on Experimental 
 Robotics, ISER 2014, June 15-18, 2014, Marrakech and Essaouira, 
 Morocco},
volume = {109},
pages = {339\textendash355},
publisher = {Springer},
series = {Springer Tracts in Advanced Robotics},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{Bastianelli2013,
title = {On-line Semantic Mapping},
author = {Emanuele Bastianelli and Domenico Bloisi and Roberto Capobianco and Fabrizio Cossu and Guglielmo Gemignani and Luca Iocchi and Daniele Nardi},
url = {https://robertocapobianco.com/publications/ICAR13.pdf},
doi = {10.1109/ICAR.2013.6766501},
year  = {2013},
date = {2013-01-01},
booktitle = {Advanced Robotics (ICAR), 2013 16th International Conference on},
journal = {Proceedings of the 16th International Conference on Advanced Robotics (ICAR)},
pages = {1-6},
publisher = {IEEE},
keywords = {conference},
pubstate = {published},
tppubtype = {inproceedings}
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@inproceedings{Bastianelli2013a,
title = {Knowledge Representation for Robots through Human-Robot Interaction},
author = {Emanuele Bastianelli and Domenico Bloisi and Roberto Capobianco and Guglielmo Gemignani and Luca Iocchi and Daniele Nardi},
url = {http://arxiv.org/abs/1307.7351},
year  = {2013},
date = {2013-01-01},
booktitle = {Knowledge Representation and Reasoning in Robotics Workshop at ICLP 2013},
journal = {CoRR},
keywords = {workshop},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{DBLP:conf/icar/BastianelliBCCG13,
title = {On-line semantic mapping},
author = {Emanuele Bastianelli and Domenico Daniele Bloisi and Roberto Capobianco and F. Cossu and Guglielmo Gemignani and Luca Iocchi and Daniele Nardi},
url = {https://doi.org/10.1109/ICAR.2013.6766501},
doi = {10.1109/ICAR.2013.6766501},
year  = {2013},
date = {2013-01-01},
booktitle = {16th International Conference on Advanced Robotics, ICAR 2013, 25-29 
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pages = {1\textendash6},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{DBLP:journals/corr/BastianelliBCGIN13,
title = {Knowledge Representation for Robots through Human-Robot Interaction},
author = {Emanuele Bastianelli and Domenico Bloisi and Roberto Capobianco and Guglielmo Gemignani and Luca Iocchi and Daniele Nardi},
url = {http://arxiv.org/abs/1307.7351},
year  = {2013},
date = {2013-01-01},
journal = {CoRR},
volume = {abs/1307.7351},
keywords = {},
pubstate = {published},
tppubtype = {article}
}