Colas, Cédric

20 publications

TMLR 2026 Policy Learning with a Language Bottleneck Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas

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

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

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 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 Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas

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

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

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