🧑‍🔬 Pierre-Yves Oudeyer

🏛️ Affiliations

🔬Institut national de recherche en sciences et technologies du numériqueLe Chesnay-Rocquencourt · France2008–2026 · 153 paperscurrent🔬Centre Inria de l'université de BordeauxTalence · France2009–2026 · 69 paperscurrent🎓Université de BordeauxBordeaux · France2013–2026 · 41 paperscurrent🔬FLOWERS: Flow: exploration, apprentissage et découverte dirigés par la curiositéTalence · France2009–2026 · 22 paperscurrent🔬InsermParis · France2024–2026 · 2 paperscurrent🎓University of TübingenTübingen · Germany2026 · 2 paperscurrent🎓École Nationale Supérieure de Techniques Avancées ParisPalaiseau · France2007–2022 · 45 papers🎓École Nationale Supérieure de Techniques AvancéesPalaiseau · France2006–2022 · 35 papers🔬Sony Computer Science LaboratoriesTokyo · Japan2002–2007 · 7 papers🏢Microsoft Research MontréalMontreal · Canada2021–2023 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots (2012 · 480 citations)
   For robots with many redundant degrees of freedom, it is difficult to learn an inverse model, that is, to find which motion parameters produce a desired effect in the task space.
2. Augmenting Autotelic Agents with Large Language Models (2023 · 11 citations)
   Autotelic agents learn by inventing and practicing their own goals. Most current systems, however, draw goals from a fixed space chosen in advance by designers. They cannot form new abstractions or propose goals that people would find meaningful. The authors note that humans pick up many goals through culture and…
3. Reinforcement learning for aligning LLM agents with interactive environments (Apprentissage par renforcement pour l'alignement des agents LLMs avec des environnements interactifs : quantification et réduction du surapprentissage aux prompts) (2025)
   The authors study how reinforcement learning (RL) affects LLM-based agents that are fine-tuned to make sequential decisions in a text-based interactive environment.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in RobotsarXiv:1301.4862 · Baranes, A., Oudeyer, P-Y. (2013) Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots, Robotics and Autonomous Systems, 61(1), pp. 49-73Adrien Baranes, Pierre-Yves Oudeyer2012 · 480 citations
2. Automatic Curriculum Learning For Deep RL: A Short Survey ↗arXiv:2003.04664 · no summary yetRémy Portelas et al.2020 · 147 citations
3. Augmenting Autotelic Agents with Large Language ModelsarXiv:2305.12487Cedric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, et al.2023 · 11 citations
4. Reinforcement learning for aligning LLM agents with interactive environments (Apprentissage par renforcement pour l'alignement des agents LLMs avec des environnements interactifs : quantification et réduction du surapprentissage aux prompts)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Mohamed Salim Aissi, Clement Romac, Thomas Carta, et al.2025

🤝 Co-authors here

4 co-authors with a page, the most papers together first.

• Laure Soulier
• Marc-Alexandre Cote
• Sylvain Lamprier
• Xingdi Yuan

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing): JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing) 2025

🔗 Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated 3 November 2026

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