An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots. - Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci; Gabriele Sartor; Emilio Cartoni; Francesco Mannella; Gianluca Baldassarre (AIRO@AI*IA, 2019)

Learning High-Level Planning Symbols from Intrinsically Motivated Experience. - Angelo Oddi; Riccardo Rasconi; Emilio Cartoni; Gabriele Sartor; Gianluca Baldassarre; Vieri Giuliano Santucci (CoRR, 2019)

Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm. - Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci; Gabriele Sartor; Emilio Cartoni; Francesco Mannella; Gianluca Baldassarre (ECAI, 2020)

Autonomous Generation of Symbolic Knowledge via Option Discovery. - Gabriele Sartor; Davide Zollo; Marta Cialdea Mayer; Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci (IPS-RCRA@AI*IA, 2021)

Option Discovery for Autonomous Generation of Symbolic Knowledge. - Gabriele Sartor; Davide Zollo; Marta Cialdea Mayer; Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci (AI*IA, 2021)

Intrinsically Motivated High-Level Planning for Agent Exploration. - Gabriele Sartor; Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci (AI*IA, 2023)

Machine Learning as a Strategic Tool for Helping Cocoa Farmers in Côte D'Ivoire. - Stefano Ferraris; Rosa Meo; Stefano Pinardi; Matteo Salis; Gabriele Sartor (Sensors, 2023)

What's Behind This Water Table Depth Forecasting? RISE Application for Spatial, Temporal, and Spatio-Temporal Explanations. - Matteo Salis; Gabriele Sartor; Marco Pellegrino; Stefano Ferraris; Abdourrahmane M. Atto; Rosa Meo (AI4CC-IPS-RCRA-SPIRIT@AI*IA, 2024)

Deep Learning tools to support deforestation monitoring in the Ivory Coast using SAR and Optical satellite imagery. - Gabriele Sartor; Matteo Salis; Stefano Pinardi; Ozgur Saracik; Rosa Meo (CoRR, 2024)

Synthesizing Evolving Symbolic Representations for Autonomous Systems. - Gabriele Sartor; Angelo Oddi; Riccardo Rasconi; Vieri Giuliano Santucci; Rosa Meo (CoRR, 2024)