Curiosity is a core driver for life‐long learning, problem‐solving and decision‐making. In a
broad sense, curiosity is defined as the intrinsically motivated acquisition of novel …

Much current work in robotics focuses on the development of robots capable of autonomous
unsupervised learning. An essential prerequisite for such learning to be possible is that the …

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 …

Autonomous multiple tasks learning is a fundamental capability to develop versatile artificial
agents that can act in complex environments. In real-world scenarios, tasks may be …

The firstobject'that newborn children play with is their own body. This activity allows them to
autonomously form a sensorimotor map of own body and a repertoire of actions supporting …

We propose an architecture for the open-ended learning and control of embodied agents.
The architecture learns action affordances and forward models based on intrinsic …

Intrinsic motivations have been successfully employed in machine learning and robotics to
improve the autonomous acquisition of knowledge and skills. While forming an ample …

Highlights•Curious robots select actions to maximize intrinsic rewards that quantify learning
progress.•Curious robots exhibit emergence of infant-like exploration behaviors.•Open …

Open-ended learning, also called life-long learning or autonomous curriculum learning,
aims to program machines and robots that autonomously acquire knowledge and skills in a …

In the computational literature intrinsic motivations have been connected to the possibility of
developing more autonomous and versatile agents. Despite the growing theoretical …