Cédric Colas
Orcid: 0000-0003-0212-427X
According to our database1,
Cédric Colas
authored at least 33 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions.
CoRR, 2024
2023
ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
2022
Nat. Mac. Intell., December, 2022
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: A Short Survey.
J. Artif. Intell. Res., 2022
Vygotskian Autotelic Artificial Intelligence: Language and Culture Internalization for Human-Like AI.
CoRR, 2022
CoRR, 2022
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).
PhD thesis, 2021
CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments.
IEEE Trans. Cogn. Dev. Syst., 2021
EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models.
J. Artif. Intell. Res., 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
CoRR, 2020
DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments.
CoRR, 2019
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms.
Proceedings of the Reproducibility in Machine Learning, 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
CoRR, 2018
How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments.
CoRR, 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms.
Proceedings of the 35th International Conference on Machine Learning, 2018
Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018