no code implementations • 4 Mar 2024 • Gianluca Baldassarre, Richard J. Duro, Emilio Cartoni, Mehdi Khamassi, Alejandro Romero, Vieri Giuliano Santucci
Overall, the approach enables OEL robots to learn in an autonomous way but also to focus on acquiring goals and skills that meet the purposes of the designers and users.
no code implementations • 18 May 2023 • Michele Farisco, Gianluca Baldassarre, Emilio Cartoni, Antonia Leach, Mihai A. Petrovici, Achim Rosemann, Arleen Salles, Bernd Stahl, Sacha J. van Albada
The conclusion resulting from the application of this method is that, compared to traditional AI, brain-inspired AI raises new foundational ethical issues and some new practical ethical issues, and exacerbates some of the issues raised by traditional AI.
no code implementations • 7 Jun 2021 • Giovanni Granato, Emilio Cartoni, Federico Da Rold, Andrea Mattera, Gianluca Baldassarre
We propose that in the cortex the same reward-based trial-and-error processes might support not only the acquisition of motor representations but also of sensory representations.
1 code implementation • 27 Nov 2020 • Emilio Cartoni, Davide Montella, Jochen Triesch, Gianluca Baldassarre
The first contribution of this work is to study the challenges posed by the previously proposed benchmark `REAL competition' aiming to foster the development of truly open-ended learning robot architectures.
no code implementations • 18 Jul 2019 • Angelo Oddi, Riccardo Rasconi, Emilio Cartoni, Gabriele Sartor, Gianluca Baldassarre, Vieri Giuliano Santucci
In particular, the architecture first acquires options in a fully autonomous fashion on the basis of open-ended learning, then builds a PDDL domain based on symbols and operators that can be used to accomplish user-defined goals through a standard PDDL planner.
Hierarchical Reinforcement Learning Vocal Bursts Intensity Prediction
no code implementations • 4 Jun 2019 • Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni
Autonomous multiple tasks learning is a fundamental capability to develop versatile artificial agents that can act in complex environments.
no code implementations • 7 May 2019 • Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva, Gianluca Baldassarre
Autonomy is fundamental for artificial agents acting in complex real-world scenarios.
no code implementations • 19 May 2018 • Emilio Cartoni, Gianluca Baldassarre
The agent may posit as a task space its whole sensory space (i. e. the space of all possible sensor readings) as the achievable goals will certainly be a subset of this space.