Pierre-Yves Oudeyer studies how a learner chooses what to explore. A research director at Inria and head of the Flowers team, he has connected developmental robotics, computational models of language and intrinsic motivation. His early work investigated how shared speech patterns could emerge among interacting agents. Later studies, developed with collaborators including Frédéric Kaplan and Adrien Baranes, examined curiosity, learning progress and the selection of goals. This research has led to experiments in which robots organise aspects of their own practice, as well as investigations of exploratory methods in simulated scientific environments. Oudeyer’s trajectory offers a perspective on artificial intelligence centred on development and experience. It also includes work on grounding language models through interaction. Across these projects, the central question remains concrete: how can a machine discover which experiences will help it learn, within the structures and constraints supplied by its designers?
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“Where Machines Make Headlines.”