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Intrinsic Motivation in Reinforcement Learning: A Research Agenda for Adaptive Self-Organisation

arXiv · AI, language, vision and robotics · article · Sep 15, 2026 · UTC

Biological cells can be viewed as individual, interacting agents whose collective dynamics give rise to adaptive behaviour at multiple levels of organisation, from individual cells through tissues to whole multicellular organisms. In this perspective and tutorial article we discuss whether intrinsic rewards in artificial neural systems can support adaptation, functional specialisation and higher-level self-organisation without a shared external objective. We review empowerment, curiosity, learning progress, information gain, unsupervised skill discovery, mutual information estimation and the u

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Evidence & attribution

First collected: 2026-09-20T08:40:59.508Z. This is not the publication date.