Cédric Colas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 44

Top Topics

Eligibility Traces

Reinforcement Learning

Autonomous Agents

Top Venues

IEEE Trans. Cogn. Dev. Syst.

J. Artif. Intell. Res.

Publications

Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
Policy Learning with a Language Bottleneck. CoRR (2024)
Jérémy Perez, Corentin Léger, Grgur Kovac, Cédric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clément Moulin-Frier
When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions. CoRR (2024)
Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer, Laetitia Teodorescu
ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors. CoRR (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML (2023)
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR (2023)
Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci
A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR (2023)
Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani
Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Grgur Kovac, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, Pierre-Yves Oudeyer
Large Language Models as Superpositions of Cultural Perspectives. CoRR (2023)
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
Augmenting Autotelic Agents with Large Language Models. CoRR (2023)
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
Augmenting Autotelic Agents with Large Language Models. CoLLAs (2023)
Ahmed Akakzia, Olivier Serris, Olivier Sigaud, Cédric Colas
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents. CoRR (2022)
Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer
Language and culture internalization for human-like autotelic AI. Nat. Mac. Intell. 4 (12) (2022)
Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer
Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI. CoRR (2022)
Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey. J. Artif. Intell. Res. 74 (2022)
Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR (2021)
Pierre Fournier, Cédric Colas, Mohamed Chetouani, Olivier Sigaud
CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments. IEEE Trans. Cogn. Dev. Syst. 13 (2) (2021)
Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. J. Artif. Intell. Res. 71 (2021)
Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani
Towards Teachable Autonomous Agents. CoRR (2021)
Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL. CoRR (2020)
Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
Scaling MAP-Elites to Deep Neuroevolution. CoRR (2020)
Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. CoRR (2020)
Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents. CoRR (2020)
Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration. CoRR (2020)
Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
Automatic Curriculum Learning For Deep RL: A Short Survey. IJCAI (2020)
Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. CoRR (2020)
Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
Automatic Curriculum Learning For Deep RL: A Short Survey. CoRR (2020)
Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter F. Dominey, Pierre-Yves Oudeyer
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration. NeurIPS (2020)
Tristan Karch, Cédric Colas, Laetitia Teodorescu, Clément Moulin-Frier, Pierre-Yves Oudeyer
Deep Sets for Generalization in RL. CoRR (2020)
Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
Scaling MAP-Elites to deep neuroevolution. GECCO (2020)
Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRL (2019)
Pierre Fournier, Olivier Sigaud, Cédric Colas, Mohamed Chetouani
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments. CoRR (2019)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. RML@ICLR (2019)
Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRR (2019)
Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. ICML (2019)
Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. CoRR (2019)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. CoRR (2019)
Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter F. Dominey, Pierre-Yves Oudeyer
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. ViGIL@NeurIPS (2019)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. JFPDA (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. CoRR (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. CoRR (2018)
Pablo Ortega, Cédric Colas, A. Aldo Faisal
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. BioRob (2018)
Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. ICML (2018)
Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. CoRR (2018)
Pablo Ortega, Cédric Colas, Aldo Faisal
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. CoRR (2018)