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ORCIDCédric Colas
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2020 – today
- 2024
[i27]Megha Srivastava, Cédric Colas, Dorsa Sadigh, Jacob Andreas:
Policy Learning with a Language Bottleneck. CoRR abs/2405.04118 (2024)- [i26]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 abs/2407.04503 (2024) - 2023
- [j5]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): 1070-1084 (2023) - [c12]Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté:
Augmenting Autotelic Agents with Large Language Models. CoLLAs 2023: 205-226 - [c11]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: 8657-8677 - [i25]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 abs/2302.06692 (2023) - [i24]Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté:
Augmenting Autotelic Agents with Large Language Models. CoRR abs/2305.12487 (2023) - [i23]Grgur Kovac, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, Pierre-Yves Oudeyer:
Large Language Models as Superpositions of Cultural Perspectives. CoRR abs/2307.07870 (2023) - [i22]Julien Pourcel, Cédric Colas, Pierre-Yves Oudeyer, Laetitia Teodorescu:
ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors. CoRR abs/2310.10692 (2023) - [i21]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 abs/2311.00344 (2023) - 2022
- [j4]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: 1159-1199 (2022) - [j3]Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Language and culture internalization for human-like autotelic AI. Nat. Mac. Intell. 4(12): 1068-1076 (2022) - [i20]Ahmed Akakzia, Olivier Serris, Olivier Sigaud, Cédric Colas:
Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic Agents. CoRR abs/2202.05129 (2022) - [i19]Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI. CoRR abs/2206.01134 (2022) - 2021
- [b1]Cédric Colas:
Towards Vygotskian Autotelic Agents : Learning Skills with Goals, Language and Intrinsically Motivated Deep Reinforcement Learning. (Agents Autotéliques Vygostkiens : Buts, Langage et Apprentissage Intrinsèquement Motivé). University of Bordeaux, France, 2021 - [j2]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: 479-519 (2021) - [j1]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): 239-248 (2021) - [c10]Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud:
Grounding Language to Autonomously-Acquired Skills via Goal Generation. ICLR 2021 - [i18]Olivier Sigaud, Hugo Caselles-Dupré, Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani:
Towards Teachable Autonomous Agents. CoRR abs/2105.11977 (2021) - 2020
- [c9]Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune:
Scaling MAP-Elites to deep neuroevolution. GECCO 2020: 67-75 - [c8]Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. IJCAI 2020: 4819-4825 - [c7]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 - [i17]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 abs/2002.09253 (2020) - [i16]Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune:
Scaling MAP-Elites to Deep Neuroevolution. CoRR abs/2003.01825 (2020) - [i15]Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer:
Automatic Curriculum Learning For Deep RL: A Short Survey. CoRR abs/2003.04664 (2020) - [i14]Tristan Karch, Cédric Colas, Laetitia Teodorescu, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Deep Sets for Generalization in RL. CoRR abs/2003.09443 (2020) - [i13]Cédric Colas, Ahmed Akakzia, Pierre-Yves Oudeyer, Mohamed Chetouani, Olivier Sigaud:
Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL. CoRR abs/2006.07043 (2020) - [i12]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 abs/2006.07185 (2020) - [i11]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 abs/2010.04452 (2020) - [i10]Cédric Colas, Tristan Karch, Olivier Sigaud, Pierre-Yves Oudeyer:
Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey. CoRR abs/2012.09830 (2020)
2010 – 2019
- 2019
- [c6]Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer:
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRL 2019: 835-853 - [c5]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. RML@ICLR 2019 - [c4]Cédric Colas, Pierre-Yves Oudeyer, Olivier Sigaud, Pierre Fournier, Mohamed Chetouani:
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning. ICML 2019: 1331-1340 - [i9]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 - [i8]Pierre Fournier, Olivier Sigaud, Cédric Colas, Mohamed Chetouani:
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments. CoRR abs/1901.09720 (2019) - [i7]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms. CoRR abs/1904.06979 (2019) - [i6]Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer:
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. CoRR abs/1910.07224 (2019) - [i5]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 abs/1911.03219 (2019) - 2018
- [c3]Pablo Ortega, Cédric Colas, A. Aldo Faisal:
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. BioRob 2018: 136-141 - [c2]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. ICML 2018: 1038-1047 - [c1]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. JFPDA 2018 - [i4]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. CoRR abs/1802.05054 (2018) - [i3]Cédric Colas, Olivier Sigaud, Pierre-Yves Oudeyer:
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments. CoRR abs/1806.08295 (2018) - [i2]Pablo Ortega, Cédric Colas, Aldo Faisal:
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI. CoRR abs/1807.11752 (2018) - [i1]Cédric Colas, Pierre Fournier, Olivier Sigaud, Pierre-Yves Oudeyer:
CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. CoRR abs/1810.06284 (2018)
Coauthor Index
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last updated on 2024-09-26 00:57 CEST by the dblp team
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