Database Pubblici
Articoli su Rivista
A self-interpretable module for deep image classification on small data Journal Article
In: Appl. Intell., vol. 53, no 8, pp. 9115–9147, 2023.
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains Journal Article
In: J. Artif. Intell. Res., vol. 76, pp. 1181–1218, 2023.
State of the Art of Visual Analytics for eXplainable Deep Learning Journal Article
In: Comput. Graph. Forum, vol. 42, no 1, pp. 319–355, 2023.
Outracing Champion Gran Turismo Drivers with Deep Reinforcement Learning Journal Article
In: Nature, vol. 62, iss. 7896, pp. 223–28, 2022.
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar. com portal Journal Article
In: Journal of Computer-Aided Molecular Design, pp. 1–23, 2022.
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies Journal Article
In: Journal of Artificial Intelligence Research (JAIR), vol. 71, pp. 953–992, 2020.
LoOP: Iterative learning for optimistic planning on robots Journal Article
In: Robotics and Autonomous Systems, pp. 103693, 2020, ISSN: 0921-8890.
Living with Robots: Interactive Environmental Knowledge Acquisition Journal Article
In: Robotics and Autonomous Systems, vol. 78, pp. 1-16, 2016.
Capitoli di Libro
RoCKIn@Home: Domestic Robots Challenge Book Section
In: RoCKIn - Benchmarking Through Robot Competitions, InTech, Rijeka, 2017, ISBN: 978-953-51-3374-2.
Articoli a Conferenza
Planetary Environment Prediction Using Generative Modeling Book Chapter
In: AIAA SCITECH 2022 Forum, 2022.
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking Proceedings Article
In: AIxIA 2021 Discussion Papers, pp. 33-44, CEUR Workshop Proceedings, 2021.
Detection Accuracy for Evaluating Compositional Explanations of Units Proceedings Article
In: The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021.
Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games Proceedings Article
In: The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021.
Exploration-Intensive Distractors: Two Environment Proposals and a Benchmarking Proceedings Article
In: The 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021.
Multiagent Epidemiologic Inference through Realtime Contact Tracing Proceedings Article
In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2021), International Foundation for Autonomous Agents and Multiagent Systems London, UK, 2021.
Explainable Inference on Sequential Data via Memory-Tracking Proceedings Article
In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}, pp. 2006–2013, International Joint Conferences on Artificial Intelligence Organization, 2020, (12.6% acceptance rate).
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots Proceedings Article
In: Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), Auckland, New Zealand, 2020.
Cooperative multi-agent deep reinforcement learning in a 2 versus 2 free-kick task Proceedings Article
In: Robot World Cup, pp. 44–57, Springer 2019.
Hi-Val: Iterative Learning of Hierarchical Value Functions for Policy Generation Proceedings Article
In: Intelligent Autonomous Systems 15, 2018.
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation Proceedings Article
In: Proceedings of the 2018 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
Q-CP: Learning Action Values for Cooperative Planning Proceedings Article
In: 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018.
Learning Human-Robot Handovers Through π-STAM: Policy Improvement With Spatio-Temporal Affordance Maps Proceedings Article
In: 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pp. 857-863, 2016.
Improved Learning of Dynamics Models for Control Proceedings Article
In: The 15th International Symposium on Experimental Robotics (ISER-2016), 2016.
Learning to Smooth with Bidirectional Predictive State Inference Machines Proceedings Article
In: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI-2016), 2016.
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies Proceedings Article
In: Proceedings of the 20th International RoboCup Symposium, 2016.
A Proposal for Semantic Map Representation and Evaluation Proceedings Article
In: Mobile Robots (ECMR), 2015 European Conference on, pp. 1-6, IEEE, 2015.
Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics Proceedings Article
In: AI*IA 2015 Advances in Artificial Intelligence, pp. 452-464, Springer International Publishing, 2015, ISBN: 978-3-319-24308-5.
Automatic Extraction of Structural Representations of Environments Proceedings Article
In: Intelligent Autonomous Systems 13, pp. 721-733, Springer International Publishing, 2014, ISBN: 978-3-319-08337-7.
Interactive Semantic Mapping: Experimental Evaluation Proceedings Article
In: Experimental Robotics - The 14th International Symposium on Experimental Robotics, pp. 339-355, Springer International Publishing, 2014, ISBN: 978-3-319-23777-0.
On-line Semantic Mapping Proceedings Article
In: Advanced Robotics (ICAR), 2013 16th International Conference on, pp. 1-6, IEEE, 2013.
Tesi
Interactive Generation and Learning of Semantic-Driven Robot Behaviors PhD Thesis
Sapienza University of Rome, 2017.
Articoli a Workshop
Visual Reward Machines Proceedings Article
In: Garcez, Artur S.; Besold, Tarek R.; Gori, Marco; Jiménez-Ruiz, Ernesto (Ed.): Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy, July 3-5, 2023, pp. 255–267, CEUR-WS.org, 2023.
Molecule Generation from Input-Attributions over Graph Convolutional Networks Proceedings Article
In: ELLIS Machine Learning for Molecules workshop (ML4Molecules), 2022.
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships Proceedings Article
In: ELLIS Machine Learning for Molecules workshop (ML4Molecules), 2022.
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning Proceedings Article
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 2031-2038, 2021.
Reinforcement Learning for Optimization of COVID-19 Mitigation policies Proceedings Article
In: 2020.
STAM: A Framework for Spatio-Temporal Affordance Maps Proceedings Article
In: Proceedings of the 2016 Modelling and Simulation for Autonomous Systems (MESAS'16) Workshop, 2016.
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics Proceedings Article
In: AAAI Symbiotic Cognitive Systems Workshop, 2016.
Knowledge-Based Reasoning on Semantic Maps Proceedings Article
In: Knowledge Representation and Reasoning in Robotics, AAAI Spring Symposium 2014, 2014.
Robust and Incremental Robot Learning by Imitation Proceedings Article
In: Second Doctoral Workshop in Artificial Intelligence, pp. 82-91, 2014, ISSN: 1613-0073.
Knowledge Representation for Robots through Human-Robot Interaction Proceedings Article
In: Knowledge Representation and Reasoning in Robotics Workshop at ICLP 2013, 2013.