Cédric Colas - RankMe

62 papers A* 11A 1B 4Misc 1Journal 39Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Policy Learning with a Language Bottleneck. Trans. Mach. Learn. Res. Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
2025	J	`jnl`	Assessing Adaptive World Models in Machines with Novel Games. CoRR Lance Ying, Katherine M. Collins, Prafull Sharma, Cédric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob Andreas, Thomas L. Griffiths, François Chollet, Kelsey R. Allen, Joshua B. Tenenbaum
2025	J	`jnl`	Code-enabled language models can outperform reasoning models on diverse tasks. CoRR Cedegao E. Zhang, Cédric Colas, Gabriel Poesia, Joshua B. Tenenbaum, Jacob Andreas
2025	J	`jnl`	Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata. CoRR Sina Khajehabdollahi, Gautier Hamon, Marko Cvjetko, Pierre-Yves Oudeyer, Clément Moulin-Frier, Cédric Colas
2025	B	`conf`	Goal Inference using Reward-Producing Programs in a Novel Physics Environment. CogSci Guy Davidson, Graham Todd, Cédric Colas, Junyi Chu, Julian Togelius, Joshua B. Tenenbaum, Todd M. Gureckis, Brenden M. Lake
2025	B	`conf`	Language and Experience: A Computational Model of Social Learning in Complex Novel Tasks. CogSci Cédric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Joshua B. Tenenbaum
2025	J	`jnl`	Language and Experience: A Computational Model of Social Learning in Complex Tasks. CoRR Cédric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Joshua B. Tenenbaum
2025	A*	`conf`	MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces. ICML Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2025	J	`jnl`	MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces. CoRR Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer
2025	A*	`conf`	Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI. ICML Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
2025	J	`jnl`	Self-Improving Language Models for Evolutionary Program Synthesis: A Case Study on ARC-AGI. CoRR Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer
2025	A*	`conf`	When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings. ICLR Jérémy Perez, Grgur Kovac, Corentin Léger, Cédric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clément Moulin-Frier
2025	J	`jnl`	WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making. CoRR Guillaume Levy, Cédric Colas, Pierre-Yves Oudeyer, Thomas Carta, Clément Romac
2024	A*	`conf`	ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models. NeurIPS Julien Pourcel, Cédric Colas, Gaia Molinaro, Pierre-Yves Oudeyer, Laetitia Teodorescu
2024	A*	`conf`	Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning. NeurIPS Gaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer, Anne Collins
2024	B	`conf`	Naturalistic Transmission of Causal Knowledge between Machines and Humans. CogSci Cédric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah D. Goodman, Jacob Andreas, Josh Tenenbaum
2024	J	`jnl`	Policy Learning with a Language Bottleneck. CoRR Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas
2024	B	`conf`	What Should I Do Now? Goal-Centric Outlooks on Learning, Exploration, and Communication. CogSci Cédric Colas, Junyi Chu, Gaia Molinaro, Robert Hawkins
2024	J	`jnl`	When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions. CoRR Jérémy Perez, Corentin Léger, Grgur Kovac, Cédric Colas, Gaia Molinaro, Maxime Derex, Pierre-Yves Oudeyer, Clément Moulin-Frier
2023	J	`jnl`	A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents. CoRR Olivier Sigaud, Gianluca Baldassarre, Cédric Colas, Stéphane Doncieux, Richard J. Duro, Nicolas Perrin-Gilbert, Vieri Giuliano Santucci
2023	J	`jnl`	ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors. CoRR Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer, Laetitia Teodorescu
2023	—	`conf`	Augmenting Autotelic Agents with Large Language Models. CoLLAs Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
2023	J	`jnl`	Augmenting Autotelic Agents with Large Language Models. CoRR Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
2023	A*	`conf`	Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
2023	J	`jnl`	Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas
2023	J	`jnl`	Large Language Models as Superpositions of Cultural Perspectives. CoRR Grgur Kovac, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, Pierre-Yves Oudeyer
2023	J	`jnl`	Toward Teachable Autotelic Agents. IEEE Trans. Cogn. Dev. Syst. Olivier Sigaud, Ahmed Akakzia, Hugo Caselles-Dupré, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani
2022	J	`jnl`	Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey. J. Artif. Intell. Res. Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
2022	J	`jnl`	Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents. CoRR Ahmed Akakzia, Olivier Serris, Olivier Sigaud, Cédric Colas
2022	J	`jnl`	Language and culture internalization for human-like autotelic AI. Nat. Mac. Intell. Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer
2022	J	`jnl`	Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI. CoRR Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer
2021	J	`jnl`	CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments. IEEE Trans. Cogn. Dev. Syst. Pierre Fournier, Cédric Colas, Mohamed Chetouani, Olivier Sigaud
2021	J	`jnl`	EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. J. Artif. Intell. Res. Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague
2021	A*	`conf`	Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
2021	J	`jnl`	Towards Teachable Autonomous Agents. CoRR Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani
2021	—	`—`	Towards Vygotskian Autotelic Agents : Learning Skills with Goals, Language and Intrinsically Motivated Deep Reinforcement Learning. (Agents Autotéliques Vygostkiens : Buts, Langage et Apprentissage Intrinsèquement Motivé). Cédric Colas
2020	A*	`conf`	Automatic Curriculum Learning For Deep RL: A Short Survey. IJCAI Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
2020	J	`jnl`	Automatic Curriculum Learning For Deep RL: A Short Survey. CoRR Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer
2020	J	`jnl`	DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents. CoRR Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
2020	J	`jnl`	Deep Sets for Generalization in RL. CoRR Tristan Karch, Cédric Colas, Laetitia Teodorescu, Clément Moulin-Frier, Pierre-Yves Oudeyer
2020	J	`jnl`	EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models. CoRR Cédric Colas, Boris P. Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague
2020	J	`jnl`	Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. CoRR Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer
2020	A*	`conf`	Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration. NeurIPS Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter F. Dominey, Pierre-Yves Oudeyer
2020	J	`jnl`	Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration. CoRR Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer
2020	J	`jnl`	Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL. CoRR Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud
2020	J	`jnl`	Scaling MAP-Elites to Deep Neuroevolution. CoRR Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
2020	A	`conf`	Scaling MAP-Elites to deep neuroevolution. GECCO Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
2019	—	`conf`	A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. RML@ICLR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2019	J	`jnl`	A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. CoRR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2019	J	`jnl`	CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments. CoRR Pierre Fournier, Olivier Sigaud, Cédric Colas, Mohamed Chetouani
2019	A*	`conf`	CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. ICML Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani
2019	—	`conf`	Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. ViGIL@NeurIPS Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter F. Dominey, Pierre-Yves Oudeyer
2019	J	`jnl`	Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. CoRR Nicolas Lair, Cédric Colas, Rémy Portelas, Jean-Michel Dussoux, Peter Ford Dominey, Pierre-Yves Oudeyer
2019	Misc	`conf`	Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRL Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
2019	J	`jnl`	Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRR Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer
2018	J	`jnl`	CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. CoRR Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer
2018	—	`conf`	Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. BioRob Pablo Ortega, Cédric Colas, A. Aldo Faisal
2018	J	`jnl`	Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. CoRR Pablo Ortega, Cédric Colas, Aldo Faisal
2018	A*	`conf`	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. ICML Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	—	`conf`	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. JFPDA Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. CoRR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer
2018	J	`jnl`	How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. CoRR Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer