Roberto Capobianco

CoRR, 2022

Molecule Generation from Input-Attributions over Graph Convolutional Networks.

[BibT_eX]

[DOI]

Dylan Savoia

Alessio Ragno

CoRR, 2022

Grounding LTLf Specifications in Images.

[BibT_eX]

[DOI]

Elena Umili

Giuseppe De Giacomo

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), 2022

2021

LoOP: Iterative learning for optimistic planning on robots.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2021

Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification Models.

[BibT_eX]

[DOI]

CoRR, 2021

Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning.

[BibT_eX]

[DOI]

Giulia Ciabatti

Shreyansh Daftry

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Multiagent Epidemiologic Inference through Realtime Contact Tracing.

[BibT_eX]

[DOI]

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

A Discussion about Explainable Inference on Sequential Data via Memory-Tracking.

[BibT_eX]

[DOI]

Jim Martin Catacora Ocana

Proceedings of the AIxIA 2021 Discussion Papers co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA2021), 2021

Exploration-Intensive Distractors: Two Environment Proposals and a Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Detection Accuracy for Evaluating Compositional Explanations of Units.

[BibT_eX]

[DOI]

Sayo M. Makinwa

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games.

[BibT_eX]

[DOI]

Roberto Gallotta

Proceedings of the AIxIA 2021 - Advances in Artificial Intelligence, 2021

2020

Explainable Inference on Sequential Data via Memory-Tracking.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

GUESs: Generative modeling of Unknown Environments and Spatial Abstraction for Robots.

[BibT_eX]

[DOI]

Jim Martin Catacora Ocana

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Reinforcement Learning for Optimization of COVID-19 Mitigation Policies.

[BibT_eX]

[DOI]

Proceedings of the AAAI Fall Symposium on AI for Social Good, 2020

2019

Cooperative Multi-agent Deep Reinforcement Learning in a 2 Versus 2 Free-Kick Task.

[BibT_eX]

[DOI]

Jim Martin Catacora Ocana

Proceedings of the RoboCup 2019: Robot World Cup XXIII [Sydney, 2019

Cooperative Multi-Agent Deep Reinforcement Learning in Soccer Domains.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

S-AVE: Semantic Active Vision Exploration and Mapping of Indoor Environments for Mobile Robots.

[BibT_eX]

[DOI]

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), 2019

2018

Efficient Long-term Mapping in Dynamic Environments.

[BibT_eX]

[DOI]

Maria Teresa Lazaro

Giorgio Grisetti

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Q-CP: Learning Action Values for Cooperative Planning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

HI-VAL: Iterative Learning of Hierarchical Value Functions for Policy Generation.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Autonomous Systems 15, 2018

DOP: Deep Optimistic Planning with Approximate Value Function Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Interactive generation and learning of semantic-driven robot behaviors.

[BibT_eX]

[DOI]

PhD thesis, 2017

2016

Living with robots: Interactive environmental knowledge acquisition.

[BibT_eX]

[DOI]

Emanuele Bastianelli

Domenico Daniele Bloisi

Luca Iocchi

Robotics Auton. Syst., 2016

Learning to Smooth with Bidirectional Predictive State Inference Machines.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Using Monte Carlo Search with Data Aggregation to Improve Robot Soccer Policies.

[BibT_eX]

[DOI]

Proceedings of the RoboCup 2016: Robot World Cup XX [Leipzig, Germany, June 30, 2016

STAM: A Framework for Spatio-Temporal Affordance Maps.

[BibT_eX]

[DOI]

Proceedings of the Modelling and Simulation for Autonomous Systems, 2016

Improved Learning of Dynamics Models for Control.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Experimental Robotics, 2016

Learning human-robot handovers through π-STAM: Policy improvement with spatio-temporal affordance maps.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Contexts for Symbiotic Autonomy: Semantic Mapping, Task Teaching and Social Robotics.

[BibT_eX]

[DOI]

Proceedings of the Symbiotic Cognitive Systems, 2016

2015

A proposal for semantic map representation and evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2015 European Conference on Mobile Robots, 2015

Approaching Qualitative Spatial Reasoning About Distances and Directions in Robotics.

[BibT_eX]

[DOI]

Proceedings of the AI*IA 2015, Advances in Artificial Intelligence, 2015

2014

Interactive Semantic Mapping: Experimental Evaluation.

[BibT_eX]

[DOI]

Domenico Daniele Bloisi

Luca Iocchi

Proceedings of the Experimental Robotics, 2014

Automatic Extraction of Structural Representations of Environments.

[BibT_eX]

[DOI]

Domenico Daniele Bloisi

Luca Iocchi

Proceedings of the Intelligent Autonomous Systems 13, 2014

Robust and Incremental Robot Learning by Imitation.

[BibT_eX]

[DOI]