Vieri G. Santucci

According to our database, Vieri G. Santucci authored at least 34 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

2023

Interdependence as the key for an ethical artificial autonomy.

Filippo Pianca, Vieri Giuliano Santucci

AI Soc., October, 2023

C-GRAIL: Autonomous Reinforcement Learning of Multiple and Context-Dependent Goals.

Vieri Giuliano Santucci, Davide Montella, Gianluca Baldassarre

IEEE Trans. Cogn. Dev. Syst., March, 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

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

Autonomous Learning of Task Sequences in Robotic Scenarios with Non-Stationary Interdependencies.

Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci

Proceedings of the 21st International Conference on Advanced Robotics, 2023

Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots.

Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Intrinsically Motivated High-Level Planning for Agent Exploration.

Gabriele Sartor, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci

Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022

Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies.

Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci

CoRR, 2022

Autonomous learning of multiple curricula with non-stationary interdependencies^*.

Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci

Proceedings of the IEEE International Conference on Development and Learning, 2022

Quantum Circuit Compilation for the Graph Coloring Problem.

Angelo Oddi, Riccardo Rasconi, Marco Baioletti, Vieri Giuliano Santucci, Hamish Beck

Proceedings of the AIxIA 2022 - Advances in Artificial Intelligence, 2022

2021

REAL 2021 - Robot open-Ended Autonomous Learning: A Competition and Benchmark.

Gianluca Baldassarre, Davide Montella, Vieri Giuliano Santucci, Emilio Cartoni

Proceedings of the IEEE International Conference on Development and Learning, 2021

Option Discovery for Autonomous Generation of Symbolic Knowledge.

Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci

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

Autonomous Generation of Symbolic Knowledge via Option Discovery.

Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci

Proceedings of the 9th Italian workshop on Planning and Scheduling (IPS'21) and the 28th International Workshop on "Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion" (RCRA'21) with CEUR-WS co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021), 2021

2020

Autonomous learning of multiple, context-dependent tasks.

Vieri Giuliano Santucci, Davide Montella, Bruno Castro da Silva, Gianluca Baldassarre

CoRR, 2020

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

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots.

Vieri Giuliano Santucci, Pierre-Yves Oudeyer, Andrew G. Barto, Gianluca Baldassarre

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

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

Learning High-Level Planning Symbols from Intrinsically Motivated Experience.

Angelo Oddi, Riccardo Rasconi, Emilio Cartoni, Gabriele Sartor, Gianluca Baldassarre, Vieri Giuliano Santucci

CoRR, 2019

Autonomous Open-Ended Learning of Interdependent Tasks.

Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre

CoRR, 2019

REAL-2019: Robot open-Ended Autonomous Learning competition.

Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019

Autonomous Reinforcement Learning of Multiple Interrelated Tasks.

Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni

Proceedings of the Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, 2019

An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots.

Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella, Gianluca Baldassarre

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

Know Your Body Through Intrinsic Goals.

Francesco Mannella, Vieri G. Santucci, Eszter Somogyi, Lisa Jacquey, J. Kevin O'Regan, Gianluca Baldassarre

Frontiers Neurorobotics, 2018

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

Proceedings of the 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics, 2018

2017

Intrinsically motivated discovered outcomes boost user's goals achievement in a humanoid robot.

Kristsana Seepanomwan, Vieri Giuliano Santucci, Gianluca Baldassarre

Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

2016

GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning.

Vieri Giuliano Santucci, Gianluca Baldassarre, Marco Mirolli

IEEE Trans. Cogn. Dev. Syst., 2016

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

Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Cumulative Learning Through Intrinsic Reinforcements.

Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli

Proceedings of the Evolution, Complexity and Artificial Life, 2014

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

Which is the best intrinsic motivation signal for learning multiple skills?

Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli

Frontiers Neurorobotics, 2013

2012

Intrinsic motivation mechanisms for competence acquisition.

Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

2010

Biological Cumulative Learning through Intrinsic Motivations: A Simulated Robotic Study on the Development of Visually-Guided Reaching.

Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli

Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010