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Vieri G. Santucci
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2020 – today
- 2024
- [c18]Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci:
Autonomous Discovery and Learning of Interdependent Goals in Non-Stationary Scenarios. ICDL 2024: 1-8 - [i8]Gianluca Baldassarre, Richard J. Duro, Emilio Cartoni, Mehdi Khamassi, Alejandro Romero, Vieri Giuliano Santucci:
Purpose for Open-Ended Learning Robots: A Computational Taxonomy, Definition, and Operationalisation. CoRR abs/2403.02514 (2024) - 2023
- [j10]Filippo Pianca
, Vieri Giuliano Santucci
:
Interdependence as the key for an ethical artificial autonomy. AI Soc. 38(5): 2045-2059 (2023) - [j9]Vieri Giuliano Santucci
, Davide Montella, Gianluca Baldassarre
:
C-GRAIL: Autonomous Reinforcement Learning of Multiple and Context-Dependent Goals. IEEE Trans. Cogn. Dev. Syst. 15(1): 210-222 (2023) - [j8]Kathryn Kasmarik
, Gianluca Baldassarre
, Vieri Giuliano Santucci
, Jochen Triesch
:
Guest Editorial Special Issue on Intrinsically Motivated Open-Ended Learning (IMOL). IEEE Trans. Cogn. Dev. Syst. 15(2): 321-324 (2023) - [c17]Gabriele Sartor
, Angelo Oddi
, Riccardo Rasconi
, Vieri Giuliano Santucci
:
Intrinsically Motivated High-Level Planning for Agent Exploration. AI*IA 2023: 119-133 - [c16]Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci:
Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots. AAMAS 2023: 2547-2549 - [c15]Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci:
Autonomous Learning of Task Sequences in Robotic Scenarios with Non-Stationary Interdependencies. ICAR 2023: 64-70 - [i7]Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci:
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR abs/2311.00344 (2023) - 2022
- [c14]Angelo Oddi
, Riccardo Rasconi
, Marco Baioletti
, Vieri Giuliano Santucci
, Hamish Beck:
Quantum Circuit Compilation for the Graph Coloring Problem. AI*IA 2022: 374-386 - [c13]Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci
:
Autonomous learning of multiple curricula with non-stationary interdependencies*. ICDL 2022: 272-279 - [i6]Alejandro Romero, Gianluca Baldassarre, Richard J. Duro, Vieri Giuliano Santucci:
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies. CoRR abs/2205.07562 (2022) - [i5]Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi
, Riccardo Rasconi
, Vieri Giuliano Santucci:
Option Discovery for Autonomous Generation of Symbolic Knowledge. CoRR abs/2206.01815 (2022) - 2021
- [c12]Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci:
Autonomous Generation of Symbolic Knowledge via Option Discovery. IPS-RCRA@AI*IA 2021 - [c11]Gabriele Sartor
, Davide Zollo, Marta Cialdea Mayer, Angelo Oddi
, Riccardo Rasconi
, Vieri Giuliano Santucci:
Option Discovery for Autonomous Generation of Symbolic Knowledge. AI*IA 2021: 153-167 - [c10]Gianluca Baldassarre, Davide Montella, Vieri Giuliano Santucci
, Emilio Cartoni
:
REAL 2021 - Robot open-Ended Autonomous Learning: A Competition and Benchmark. ICDL 2021: 1-8 - 2020
- [c9]Angelo Oddi
, Riccardo Rasconi
, Vieri Giuliano Santucci, Gabriele Sartor
, Emilio Cartoni
, Francesco Mannella
, Gianluca Baldassarre:
Integrating Open-Ended Learning in the Sense-Plan-Act Robot Control Paradigm. ECAI 2020: 2417-2424 - [i4]Vieri Giuliano Santucci
, Davide Montella, Bruno Castro da Silva, Gianluca Baldassarre:
Autonomous learning of multiple, context-dependent tasks. CoRR abs/2011.13847 (2020)
2010 – 2019
- 2019
- [j7]Gianluca Baldassarre
, William Lord, Giovanni Granato
, Vieri Giuliano Santucci
:
An Embodied Agent Learning Affordances With Intrinsic Motivations and Solving Extrinsic Tasks With Attention and One-Step Planning. Frontiers Neurorobotics 13: 45 (2019) - [j6]Lisa Jacquey
, Gianluca Baldassarre
, Vieri Giuliano Santucci
, J. Kevin O'Regan:
Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots. Frontiers Neurorobotics 13: 98 (2019) - [j5]Vieri Giuliano Santucci
, Pierre-Yves Oudeyer, Andrew G. Barto, Gianluca Baldassarre
:
Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. Frontiers Neurorobotics 13: 115 (2019) - [c8]Angelo Oddi, Riccardo Rasconi, Vieri Giuliano Santucci, Gabriele Sartor, Emilio Cartoni, Francesco Mannella, Gianluca Baldassarre:
An Intrinsically Motivated Planning Architecture for Curiosity-driven Robots. AIRO@AI*IA 2019: 19-24 - [c7]Vieri Giuliano Santucci
, Gianluca Baldassarre, Emilio Cartoni
:
Autonomous Reinforcement Learning of Multiple Interrelated Tasks. ICDL-EPIROB 2019: 221-227 - [c6]Emilio Cartoni, Francesco Mannella, Vieri Giuliano Santucci
, Jochen Triesch, Elmar Rueckert, Gianluca Baldassarre:
REAL-2019: Robot open-Ended Autonomous Learning competition. NeurIPS (Competition and Demos) 2019: 142-152 - [i3]Vieri Giuliano Santucci
, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre:
Autonomous Open-Ended Learning of Interdependent Tasks. CoRR abs/1905.02690 (2019) - [i2]Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni:
Autonomous Reinforcement Learning of Multiple Interrelated Tasks. CoRR abs/1906.01374 (2019) - [i1]Angelo Oddi, Riccardo Rasconi, Emilio Cartoni, Gabriele Sartor, Gianluca Baldassarre, Vieri Giuliano Santucci
:
Learning High-Level Planning Symbols from Intrinsically Motivated Experience. CoRR abs/1907.08313 (2019) - 2018
- [j4]Francesco Mannella
, Vieri G. Santucci
, Eszter Somogyi
, Lisa Jacquey, J. Kevin O'Regan, Gianluca Baldassarre
:
Know Your Body Through Intrinsic Goals. Frontiers Neurorobotics 12: 30 (2018) - [c5]Gianluca Baldassarre
, Francesco Mannella
, Vieri Giuliano Santucci
, Eszter Somogyi
, Lisa Jacquey, Mollie Hamilton, J. Kevin O'Regan:
Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments. ICDL-EPIROB 2018: 46-53 - 2017
- [c4]Kristsana Seepanomwan
, Vieri Giuliano Santucci
, Gianluca Baldassarre
:
Intrinsically motivated discovered outcomes boost user's goals achievement in a humanoid robot. ICDL-EPIROB 2017: 178-183 - 2016
- [j3]Vieri Giuliano Santucci
, Gianluca Baldassarre
, Marco Mirolli
:
GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning. IEEE Trans. Cogn. Dev. Syst. 8(3): 214-231 (2016) - 2014
- [c3]Vieri G. Santucci
, Gianluca Baldassarre
, Marco Mirolli
:
Autonomous selection of the "what" and the "how" of learning: An intrinsically motivated system tested with a two armed robot. ICDL-EPIROB 2014: 434-439 - [p1]Vieri G. Santucci
, Gianluca Baldassarre, Marco Mirolli
:
Cumulative Learning Through Intrinsic Reinforcements. Evolution, Complexity and Artificial Life 2014: 107-122 - 2013
- [j2]Vieri G. Santucci
, Gianluca Baldassarre
, Marco Mirolli
:
Which is the best intrinsic motivation signal for learning multiple skills? Frontiers Neurorobotics 7: 22 (2013) - [j1]Marco Mirolli
, Vieri G. Santucci
, Gianluca Baldassarre
:
Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study. Neural Networks 39: 40-51 (2013) - 2012
- [c2]Vieri G. Santucci
, Gianluca Baldassarre
, Marco Mirolli
:
Intrinsic motivation mechanisms for competence acquisition. ICDL-EPIROB 2012: 1-6 - 2010
- [c1]Vieri G. Santucci, Gianluca Baldassarre, Marco Mirolli:
Biological Cumulative Learning through Intrinsic Motivations: A Simulated Robotic Study on the Development of Visually-Guided Reaching. EpiRob 2010
Coauthor Index
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