Biological Cumulative Learning through Intrinsic Motivations: A Simulated Robotic Study on the Development of Visually-Guided Reaching. - Vieri G. Santucci; Gianluca Baldassarre; Marco Mirolli (EpiRob, 2010)

Intrinsic motivation mechanisms for competence acquisition. - Vieri G. Santucci; Gianluca Baldassarre; Marco Mirolli (ICDL-EPIROB, 2012)

Which is the best intrinsic motivation signal for learning multiple skills? - Vieri G. Santucci; Gianluca Baldassarre; Marco Mirolli (Frontiers Neurorobotics, 2013)

Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study. - Marco Mirolli; Vieri G. Santucci; Gianluca Baldassarre (Neural Networks, 2013)

Cumulative Learning Through Intrinsic Reinforcements. - Vieri G. Santucci; Gianluca Baldassarre; Marco Mirolli (Evolution, Complexity and Artificial Life, 2014)

Autonomous selection of the "what" and the "how" of learning: An intrinsically motivated system tested with a two armed robot. - Vieri G. Santucci; Gianluca Baldassarre; Marco Mirolli (ICDL-EPIROB, 2014)

GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning. - Vieri Giuliano Santucci; Gianluca Baldassarre; Marco Mirolli (IEEE Trans. Cogn. Dev. Syst., 2016)

Intrinsically motivated discovered outcomes boost user's goals achievement in a humanoid robot. - Kristsana Seepanomwan; Vieri Giuliano Santucci; Gianluca Baldassarre (ICDL-EPIROB, 2017)

Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments. - Gianluca Baldassarre; Francesco Mannella; Vieri Giuliano Santucci; Eszter Somogyi; Lisa Jacquey; Mollie Hamilton; J. Kevin O'Regan (ICDL-EPIROB, 2018)

Know Your Body Through Intrinsic Goals. - Francesco Mannella; Vieri G. Santucci; Eszter Somogyi; Lisa Jacquey; J. Kevin O'Regan; Gianluca Baldassarre (Frontiers Neurorobotics, 2018)

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)

Autonomous Reinforcement Learning of Multiple Interrelated Tasks. - Vieri Giuliano Santucci; Gianluca Baldassarre; Emilio Cartoni (ICDL-EPIROB, 2019)

REAL-2019: Robot open-Ended Autonomous Learning competition. - Emilio Cartoni; Francesco Mannella; Vieri Giuliano Santucci; Jochen Triesch; Elmar Rueckert; Gianluca Baldassarre (NeurIPS (Competition and Demos), 2019)

Autonomous Open-Ended Learning of Interdependent Tasks. - Vieri Giuliano Santucci; Emilio Cartoni; Bruno Castro da Silva; Gianluca Baldassarre (CoRR, 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)

An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning. - Gianluca Baldassarre; William Lord; Giovanni Granato; Vieri Giuliano Santucci (Frontiers Neurorobotics, 2019)

Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots. - Lisa Jacquey; Gianluca Baldassarre; Vieri Giuliano Santucci; J. Kevin O'Regan (Frontiers Neurorobotics, 2019)

Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. - Vieri Giuliano Santucci; Pierre-Yves Oudeyer; Andrew G. Barto; Gianluca Baldassarre (Frontiers Neurorobotics, 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 learning of multiple, context-dependent tasks. - Vieri Giuliano Santucci; Davide Montella; Bruno Castro da Silva; Gianluca Baldassarre (CoRR, 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)

REAL 2021 - Robot open-Ended Autonomous Learning: A Competition and Benchmark. - Gianluca Baldassarre; Davide Montella; Vieri Giuliano Santucci; Emilio Cartoni (ICDL, 2021)

Quantum Circuit Compilation for the Graph Coloring Problem. - Angelo Oddi; Riccardo Rasconi; Marco Baioletti; Vieri Giuliano Santucci; Hamish Beck (AI*IA, 2022)

Autonomous learning of multiple curricula with non-stationary interdependencies*. - Alejandro Romero; Gianluca Baldassarre; Richard J. Duro; Vieri Giuliano Santucci (ICDL, 2022)

Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies. - Alejandro Romero; Gianluca Baldassarre; Richard J. Duro; Vieri Giuliano Santucci (CoRR, 2022)

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

Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots. - Alejandro Romero; Gianluca Baldassarre; Richard J. Duro; Vieri Giuliano Santucci (AAMAS, 2023)

Autonomous Learning of Task Sequences in Robotic Scenarios with Non-Stationary Interdependencies. - Alejandro Romero; Gianluca Baldassarre; Richard J. Duro; Vieri Giuliano Santucci (ICAR, 2023)

A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. - Olivier Sigaud; Gianluca Baldassarre; Cédric Colas; Stéphane Doncieux; Richard J. Duro; Nicolas Perrin-Gilbert; Vieri Giuliano Santucci (CoRR, 2023)

Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL). - Kathryn Kasmarik; Gianluca Baldassarre; Vieri Giuliano Santucci; Jochen Triesch (IEEE Trans. Cogn. Dev. Syst., 2023)

C-GRAIL: Autonomous Reinforcement Learning of Multiple and Context-Dependent Goals. - Vieri Giuliano Santucci; Davide Montella; Gianluca Baldassarre (IEEE Trans. Cogn. Dev. Syst., 2023)

Interdependence as the key for an ethical artificial autonomy. - Filippo Pianca; Vieri Giuliano Santucci (AI Soc., 2023)

Autonomous Discovery and Learning of Interdependent Goals in Non-Stationary Scenarios. - Alejandro Romero; Gianluca Baldassarre; Richard J. Duro; Vieri Giuliano Santucci (ICDL, 2024)

Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation. - Gianluca Baldassarre; Richard J. Duro; Emilio Cartoni; Mehdi Khamassi; Alejandro Romero; Vieri Giuliano Santucci (CoRR, 2024)

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

Autonomous state-space segmentation for Deep-RL sparse reward scenarios. - Gianluca Maselli; Vieri Giuliano Santucci (CoRR, 2025)

A Motivational Architecture for Open-Ended Learning Challenges in Robots. - Alejandro Romero; Gianluca Baldassarre; Richard J. Duro; Vieri Giuliano Santucci (CoRR, 2025)