Oudeyer, Pierre-Yves

41 publications

ICML 2025 MAGELLAN: Metacognitive Predictions of Learning Progress Guide Autotelic LLM Agents in Large Goal Spaces Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

ICLR 2025 PhyloLM: Inferring the Phylogeny of Large Language Models and Predicting Their Performances in Benchmarks Nicolas Yax, Pierre-Yves Oudeyer, Stefano Palminteri

ICML 2025 Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer

ICLR 2025 When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-Turn Settings Jérémy Perez, Grgur Kovač, Corentin Léger, Cédric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clément Moulin-Frier

NeurIPS 2024 ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models Julien Pourcel, Cédric Colas, Gaia Molinaro, Pierre-Yves Oudeyer, Laetitia Teodorescu

NeurIPSW 2024 Autotelic LLM-Based Exploration for Goal-Conditioned RL Guillaume Pourcel, Thomas Carta, Grgur Kovač, Pierre-Yves Oudeyer

NeurIPS 2024 Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning Gaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer, Anne G. E. Collins

NeurIPSW 2024 SAC-GLAM: Improving Online RL for LLM Agents with Soft Actor-Critic and Hindsight Relabeling Loris Gaven, Thomas Carta, Clément Romac, Olivier Sigaud, Sylvain Lamprier, Pierre-Yves Oudeyer

NeurIPSW 2023 ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer, Laetitia Teodorescu

CoLLAs 2023 Augmenting Autotelic Agents with Large Language Models Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté

NeurIPSW 2023 Codeplay: Autotelic Learning Through Collaborative Self-Play in Programming Environments Laetitia Teodorescu, Cédric Colas, Matthew Bowers, Thomas Carta, Pierre-Yves Oudeyer

ICML 2023 Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

NeurIPSW 2023 SBMLtoODEjax: Efficient Simulation and Optimization of Biological Network Models in JAX Mayalen Etcheverry, Michael Levin, Clément Moulin-Frier, Pierre-Yves Oudeyer

ICMLW 2023 The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents Grgur Kovac, Rémy Portelas, Peter Ford Dominey, Pierre-Yves Oudeyer

TMLR 2023 Using Confounded Data in Latent Model-Based Reinforcement Learning Maxime Gasse, Damien Grasset, Guillaume Gaudron, Pierre-Yves Oudeyer

ICML 2022 Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander Schwing

JAIR 2022 Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer

NeurIPS 2022 EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-Guided RL Thomas Carta, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier

JMLR 2022 Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning Sébastien Forestier, Rémy Portelas, Yoan Mollard, Pierre-Yves Oudeyer

ICLR 2022 Language-Biased Image Classification: Evaluation Based on Semantic Representations Yoann Lemesle, Masataka Sawayama, Guillermo Valle-Perez, Maxime Adolphe, Hélène Sauzéon, Pierre-Yves Oudeyer

ICLR 2022 Learning to Guide and to Be Guided in the Architect-Builder Problem Paul Barde, Tristan Karch, Derek Nowrouzezahrai, Clément Moulin-Frier, Christopher Pal, Pierre-Yves Oudeyer

NeurIPSW 2022 Using Confounded Data in Offline RL Maxime Gasse, Damien Grasset, Guillaume Gaudron, Pierre-Yves Oudeyer

JAIR 2021 EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague

ICLR 2021 Grounding Language to Autonomously-Acquired Skills via Goal Generation Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud

NeurIPS 2021 Grounding Spatio-Temporal Language with Transformers Tristan Karch, Laetitia Teodorescu, Katja Hofmann, Clément Moulin-Frier, Pierre-Yves Oudeyer

ICML 2021 TeachMyAgent: A Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

IJCAI 2020 Automatic Curriculum Learning for Deep RL: A Short Survey Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer

NeurIPS 2020 Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems Mayalen Etcheverry, Clément Moulin-Frier, Pierre-Yves Oudeyer

ICLR 2020 Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems Chris Reinke, Mayalen Etcheverry, Pierre-Yves Oudeyer

NeurIPS 2020 Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Dominey, Pierre-Yves Oudeyer

ICMLW 2020 Language-Conditioned Goal Generation: A New Approach to Language Grounding in RL Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud

ICMLW 2020 Language-Goal Imagination to Foster Creative Exploration in Deep RL Tristan Karch, Nicolas Lair, Cédric Colas, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer

ICML 2019 CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning Cédric Colas, Pierre Fournier, Mohamed Chetouani, Olivier Sigaud, Pierre-Yves Oudeyer

CoRL 2019 Teacher Algorithms for Curriculum Learning of Deep RL in Continuously Parameterized Environments Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer

CoRL 2018 Curiosity Driven Exploration of Learned Disentangled Goal Spaces Adrien Laversanne-Finot, Alexandre Péré, Pierre-Yves Oudeyer

ICML 2018 GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer

CoRL 2018 Sim-to-Real Transfer with Neural-Augmented Robot Simulation Florian Golemo, Adrien Ali Taïga, Aaron C. Courville, Pierre-Yves Oudeyer

ICLR 2018 Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer

AAAI 2014 Calibration-Free BCI Based Control Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes

UAI 2014 Interactive Learning from Unlabeled Instructions Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes

NeurIPS 2012 Exploration in Model-Based Reinforcement Learning by Empirically Estimating Learning Progress Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-yves Oudeyer