The reinforcement learning (RL) research area is very active, with an important number of
new contributions, especially considering the emergent field of deep RL (DRL). However, a …

Deep Learning (DL), a groundbreaking branch of Machine Learning (ML), has emerged as a
driving force in both theoretical and applied Artificial Intelligence (AI). DL algorithms, rooted …

Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

Curiosity is considered to be the essence of science and an integral component of cognition.
What prompts curiosity in a learner? Previous theoretical accounts of curiosity remain …

This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high
school students, which has been organized as a two-year subject. The curriculum was …

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 …

It is vital for mobile robots to achieve safe autonomous steering in various changing
environments. In this paper, a novel end-to-end network architecture is proposed for mobile …

As expected, the majority of research on this Topic focuses on the autonomous acquisition of
skills and motor behaviours, and in general on problems related to the interaction of artificial …

Autonomous exploration in robotics is a crucial feature to achieve robust and safe systems
capable to interact with and recognize their surrounding environment. In this paper, we …

This paper presents a review of intrinsic motivation in player modeling, with a focus on
simulation-based game testing. Modern AI agents can learn to win many games; from a …