The nucleus accumbens as a nexus between values and goals in goal-directed behavior: a review and a new hypothesis

F Mannella, K Gurney, G Baldassarre - Frontiers in behavioral …, 2013 - frontiersin.org
Goal-directed behavior is a fundamental means by which animals can flexibly solve the
challenges posed by variable external and internal conditions. Recently, the processes and …

Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration–exploitation balance with bio-inspired neural networks

A Triche, AS Maida, A Kumar - Neural Networks, 2022 - Elsevier
Recent theoretical and experimental works have connected Hebbian plasticity with the
reinforcement learning (RL) paradigm, producing a class of trial-and-error learning in …

Novelty or surprise?

A Barto, M Mirolli, G Baldassarre - Frontiers in psychology, 2013 - frontiersin.org
Novelty and surprise play significant roles in animal behavior and in attempts to understand
the neural mechanisms underlying it. They also play important roles in technology, where …

GRAIL: A goal-discovering robotic architecture for intrinsically-motivated learning

VG Santucci, G Baldassarre… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we present goal-discovering robotic architecture for intrisically-motivated
learning (GRAIL), a four-level architecture that is able to autonomously: 1) discover changes …

A spintronic memristor-based neural network with radial basis function for robotic manipulator control implementation

T Li, S Duan, J Liu, L Wang… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
A radial basis function (RBF) neural network control algorithm can effectively improve the
robotic manipulators' performance against a large amount of uncertainty. The adaptive law …

Intrinsic motivations and open-ended development in animals, humans, and robots: an overview

G Baldassarre, T Stafford, M Mirolli… - Frontiers in …, 2014 - frontiersin.org
This editorial article introduces the Frontiers Research Topic and Electronic Book (eBook)
on Intrinsic Motivations (IMs), which involved the publication of 24 articles with the journals …

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

VG Santucci, G Baldassarre, M Mirolli - Frontiers in neurorobotics, 2013 - frontiersin.org
Humans and other biological agents are able to autonomously learn and cache different
skills in the absence of any biological pressure or any assigned task. In this respect, Intrinsic …

Functions and mechanisms of intrinsic motivations: The knowledge versus competence distinction

M Mirolli, G Baldassarre - Intrinsically motivated learning in natural and …, 2013 - Springer
Mammals, and humans in particular, are endowed with an exceptional capacity for
cumulative learning. This capacity crucially depends on the presence of intrinsic motivations …

Intrinsically motivated action–outcome learning and goal-based action recall: a system-level bio-constrained computational model

G Baldassarre, F Mannella, VG Fiore, P Redgrave… - Neural Networks, 2013 - Elsevier
Abstract Reinforcement (trial-and-error) learning in animals is driven by a multitude of
processes. Most animals have evolved several sophisticated systems of 'extrinsic …

[HTML][HTML] Motivation as a tool for designing lifelong learning robots

A Romero, F Bellas, JA Becerra… - Integrated Computer …, 2020 - content.iospress.com
Designing robots has usually implied knowing beforehand the tasks to be carried out and in
what domains. However, in the case of fully autonomous robots this is not possible …