Towards Vygotskian Autotelic Agents : Learning Skills with Goals, Language and Intrinsically Motivated Deep Reinforcement Learning. (Agents Autotéliques Vygostkiens : Buts, Langage et Apprentissage Intrinsèquement Motivé).

[BibT_eX]

[DOI]

Cédric Colas

PhD thesis, 2021

CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2021

Towards Teachable Autonomous Agents.

[BibT_eX]

[DOI]

CoRR, 2021

Grounding Language to Autonomously-Acquired Skills via Goal Generation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey.

[BibT_eX]

[DOI]

CoRR, 2020

DECSTR: Learning Goal-Directed Abstract Behaviors using Pre-Verbal Spatial Predicates in Intrinsically Motivated Agents.

[BibT_eX]

[DOI]

CoRR, 2020

Language-Conditioned Goal Generation: a New Approach to Language Grounding for RL.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Sets for Generalization in RL.

[BibT_eX]

[DOI]

CoRR, 2020

Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Automatic Curriculum Learning For Deep RL: A Short Survey.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Scaling MAP-Elites to deep neuroevolution.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

CLIC: Curriculum Learning and Imitation for feature Control in non-rewarding environments.

[BibT_eX]

[DOI]

CoRR, 2019

Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning.

[BibT_eX]

[DOI]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Cédric Colas

Olivier Sigaud

Pierre-Yves Oudeyer

Proceedings of the Reproducibility in Machine Learning, 2019

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments.

[BibT_eX]

[DOI]

Cédric Colas

Olivier Sigaud

Pierre-Yves Oudeyer

CoRR, 2018

GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Cédric Colas

Olivier Sigaud

Pierre-Yves Oudeyer

Proceedings of the Journées Francophone Planification, 2018

Compact Convolutional Neural Networks for Multi-Class, Personalised, Closed-Loop EEG-BCI.

[BibT_eX]

[DOI]

Pablo Ortega

Cédric Colas

A. Aldo Faisal

Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

Cédric Colas

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...