Roberto Capobianco

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 51

Top Topics

Reinforcement Learning

Monte Carlo Search

Semantic Mapping

Top Venues

Publications

Alessio Ragno, Biagio La Rosa, Roberto Capobianco
Prototype-Based Interpretable Graph Neural Networks. IEEE Trans. Artif. Intell. 5 (4) (2024)
Michela Proietti, Alessio Ragno, Biagio La Rosa, Rino Ragno, Roberto Capobianco
Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening. Mach. Learn. 113 (4) (2024)
Elena Umili, Roberto Capobianco, Giuseppe De Giacomo
Grounding LTLf Specifications in Image Sequences. KR (2023)
Biagio La Rosa, Graziano Blasilli, Romain Bourqui, David Auber, Giuseppe Santucci, Roberto Capobianco, Enrico Bertini, Romain Giot, Marco Angelini
State of the Art of Visual Analytics for eXplainable Deep Learning. Comput. Graph. Forum 42 (1) (2023)
Biagio La Rosa, Leilani H. Gilpin, Roberto Capobianco
Towards a fuller understanding of neurons with Clustered Compositional Explanations. CoRR (2023)
Biagio La Rosa, Leilani Gilpin, Roberto Capobianco
Towards a fuller understanding of neurons with Clustered Compositional Explanations. NeurIPS (2023)
Biagio La Rosa, Roberto Capobianco, Daniele Nardi
A self-interpretable module for deep image classification on small data. Appl. Intell. 53 (8) (2023)
Jim Martin Catacora Ocana, Roberto Capobianco, Daniele Nardi
An Overview of Environmental Features that Impact Deep Reinforcement Learning in Sparse-Reward Domains. J. Artif. Intell. Res. 76 (2023)
Michela Proietti, Alessio Ragno, Roberto Capobianco
Memory Replay For Continual Learning With Spiking Neural Networks. MLSP (2023)
Caterina Borzillo, Alessio Ragno, Roberto Capobianco
Understanding Deep RL Agent Decisions: a Novel Interpretable Approach with Trainable Prototypes. XAI.it@AI*IA (2023)
Elena Umili, Francesco Argenziano, Aymeric Barbin, Roberto Capobianco
Visual Reward Machines. NeSy (2023)
Giulio Biondi, Stefano Cagnoni, Roberto Capobianco, Valentina Franzoni, Francesca A. Lisi, Alfredo Milani, Jordi Vallverdú
Editorial: Ethical design of artificial intelligence-based systems for decision making. Frontiers Artif. Intell. 6 (2023)
Eleonora Proia, Alessio Ragno, Lorenzo Antonini, Manuela Sabatino, Milan Mladenovic, Roberto Capobianco, Rino Ragno
Ligand-based and structure-based studies to develop predictive models for SARS-CoV-2 main protease inhibitors through the 3d-qsar.com portal. J. Comput. Aided Mol. Des. 36 (7) (2022)
Dylan Savoia, Alessio Ragno, Roberto Capobianco
Molecule Generation from Input-Attributions over Graph Convolutional Networks. CoRR (2022)
Alessio Ragno, Dylan Savoia, Roberto Capobianco
Semi-Supervised GCN for learning Molecular Structure-Activity Relationships. CoRR (2022)
Elena Umili, Roberto Capobianco, Giuseppe De Giacomo
Grounding LTLf Specifications in Images. NeSy (2022)
Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. 602 (7896) (2022)
Biagio La Rosa, Roberto Capobianco, Daniele Nardi
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models. CoRR (2021)
Biagio La Rosa, Roberto Capobianco, Daniele Nardi
A Discussion about Explainable Inference on Sequential Data via Memory-Tracking. DP@AI*IA (2021)
Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco
Detection Accuracy for Evaluating Compositional Explanations of Units. AI*IA (2021)
Giulia Ciabatti, Shreyansh Daftry, Roberto Capobianco
Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning. CVPR Workshops (2021)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
LoOP: Iterative learning for optimistic planning on robots. Robotics Auton. Syst. 136 (2021)
Guni Sharon, James Ault, Peter Stone, Varun Kompella, Roberto Capobianco
Multiagent Epidemiologic Inference through Realtime Contact Tracing. AAMAS (2021)
Roberto Capobianco, Varun Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies. J. Artif. Intell. Res. 71 (2021)
Sayo M. Makinwa, Biagio La Rosa, Roberto Capobianco
Detection Accuracy for Evaluating Compositional Explanations of Units. CoRR (2021)
Jim Martin Catacora Ocana, Roberto Capobianco, Daniele Nardi
Exploration-Intensive Distractors: Two Environment Proposals and a Benchmarking. AI*IA (2021)
Roberto Gallotta, Roberto Capobianco
Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games. AI*IA (2021)
Varun Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
Reinforcement Learning for Optimization of COVID-19 Mitigation policies. CoRR (2020)
Varun Kompella, Roberto Capobianco, Stacy Jong, Jonathan Browne, Spencer J. Fox, Lauren Ancel Meyers, Peter R. Wurman, Peter Stone
Reinforcement Learning for Optimization of COVID-19 Mitigation Policies. AI4SG@AAAI Fall Symposium (2020)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots. AAMAS (2020)
Biagio La Rosa, Roberto Capobianco, Daniele Nardi
Explainable Inference on Sequential Data via Memory-Tracking. IJCAI (2020)
Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi
Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains. AAMAS (2019)
José V. Jaramillo, Roberto Capobianco, Francesco Riccio, Daniele Nardi
S-AVE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots. AIRO@AI*IA (2019)
Jim Martin Catacora Ocana, Francesco Riccio, Roberto Capobianco, Daniele Nardi
Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task. RoboCup (2019)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. AAMAS (2018)
Roberto Capobianco, Francesco Riccio, Daniele Nardi
HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy Generation. IAS (2018)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Q-CP: Learning Action Values for Cooperative Planning. CoRR (2018)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Q-CP: Learning Action Values for Cooperative Planning. ICRA (2018)
Maria Teresa Lazaro, Roberto Capobianco, Giorgio Grisetti
Efficient Long-term Mapping in Dynamic Environments. IROS (2018)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation. CoRR (2018)
Francesco Riccio, Roberto Capobianco, Marc Hanheide, Daniele Nardi
STAM: A Framework for Spatio-Temporal Affordance Maps. MESAS (2016)
Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots
Learning to Smooth with Bidirectional Predictive State Inference Machines. UAI (2016)
Guglielmo Gemignani, Roberto Capobianco, Emanuele Bastianelli, Domenico Daniele Bloisi, Luca Iocchi, Daniele Nardi
Living with robots: Interactive environmental knowledge acquisition. Robotics Auton. Syst. 78 (2016)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Learning Human-Robot Handovers Through π-STAM: Policy Improvement With Spatio-Temporal Affordance Maps. CoRR (2016)
Arun Venkatraman, Roberto Capobianco, Lerrel Pinto, Martial Hebert, Daniele Nardi, J. Andrew Bagnell
Improved Learning of Dynamics Models for Control. ISER (2016)
Roberto Capobianco, Jacopo Serafin, Johann Dichtl, Giorgio Grisetti, Luca Iocchi, Daniele Nardi
A Proposal for Semantic Map Representation and Evaluation. CoRR (2016)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps. Humanoids (2016)
Francesco Riccio, Roberto Capobianco, Marc Hanheide, Daniele Nardi
STAM: A Framework for Spatio-Temporal Affordance Maps. CoRR (2016)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Using Monte Carlo Search With Data Aggregation to Improve Robot Soccer Policies. CoRR (2016)
Francesco Riccio, Roberto Capobianco, Daniele Nardi
Using Monte Carlo Search with Data Aggregation to Improve Robot Soccer Policies. RoboCup (2016)
Roberto Capobianco, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi, Francesco Riccio, Andrea Vanzo
Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics. AAAI Workshop: Symbiotic Cognitive Systems (2016)
Roberto Capobianco, Jacopo Serafin, Johann Dichtl, Giorgio Grisetti, Luca Iocchi, Daniele Nardi
A proposal for semantic map representation and evaluation. ECMR (2015)
Guglielmo Gemignani, Roberto Capobianco, Daniele Nardi
Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics. AI*IA (2015)
Roberto Capobianco
Robust and Incremental Robot Learning by Imitation. DWAI@AI*IA (2014)
Roberto Capobianco, Guglielmo Gemignani, Domenico Daniele Bloisi, Daniele Nardi, Luca Iocchi
Automatic Extraction of Structural Representations of Environments. IAS (2014)
Guglielmo Gemignani, Daniele Nardi, Domenico Daniele Bloisi, Roberto Capobianco, Luca Iocchi
Interactive Semantic Mapping: Experimental Evaluation. ISER (2014)
Emanuele Bastianelli, Domenico Daniele Bloisi, Roberto Capobianco, F. Cossu, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi
On-line semantic mapping. ICAR (2013)
Emanuele Bastianelli, Domenico Bloisi, Roberto Capobianco, Guglielmo Gemignani, Luca Iocchi, Daniele Nardi
Knowledge Representation for Robots through Human-Robot Interaction. CoRR (2013)