Cédric Colas
Cited by
Cited by
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
C Colas, O Sigaud, PY Oudeyer
Accepted at ICML 2019, 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
C Colas, O Sigaud, PY Oudeyer
Proceedings of the 35th International Conference on Machine Learning 80 …, 2018
Automatic Curriculum Learning For Deep RL: A Short Survey
R Portelas, C Colas, L Weng, K Hofmann, PY Oudeyer
IJCAI 2020. arXiv preprint arXiv:2003.04664, 2020
Teacher Algorithms for Curriculum Learning of Deep RL in Continuously-Parameterized Environments
R Portelas, C Colas, K Hofmann, PY Oudeyer
Conference on Robot Learning, 835-853, 2020
How many random seeds? statistical power analysis in deep reinforcement learning experiments
C Colas, O Sigaud, PY Oudeyer
arXiv preprint arXiv:1806.08295, 2018
Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration
C Colas, T Karch, N Lair, JM Dussoux, C Moulin-Frier, PF Dominey, ...
NeurIPS 2020, 2020
Scaling Map-Elites to Deep Neuroevolution
C Colas, V Madhavan, J Huizinga, J Clune
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 67-75, 2020
Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey
C Colas, T Karch, O Sigaud, PY Oudeyer
Journal of Artificial Intelligence Research 74, 2020
A hitchhiker's guide to statistical comparisons of reinforcement learning algorithms
C Colas, O Sigaud, PY Oudeyer
arXiv preprint arXiv:1904.06979, 2019
Grounding language to autonomously-acquired skills via goal generation
A Akakzia, C Colas, PY Oudeyer, M Chetouani, O Sigaud
ICLR 2021, 2020
Towards Teachable Autotelic agents
O Sigaud, H Caselles-Dupré, C Colas, A Akakzia, PY Oudeyer, ...
arXiv preprint arXiv:2105.11977, 2021
Clic: Curriculum learning and imitation for object control in nonrewarding environments
P Fournier, C Colas, M Chetouani, O Sigaud
IEEE Transactions on Cognitive and Developmental Systems 13 (2), 239-248, 2019
EpidemiOptim: a toolbox for the optimization of control policies in epidemiological models
C Colas, B Hejblum, S Rouillon, R Thiébaut, PY Oudeyer, C Moulin-Frier, ...
Journal of Artificial Intelligence Research 71, 479-519, 2021
Language-conditioned goal generation: a new approach to language grounding for RL
C Colas, A Akakzia, PY Oudeyer, M Chetouani, O Sigaud
arXiv preprint arXiv:2006.07043, 2020
Language and culture internalization for human-like autotelic AI
C Colas, T Karch, C Moulin-Frier, PY Oudeyer
Nature Machine Intelligence 4 (12), 1068-1076, 2022
Language grounding through social interactions and curiosity-driven multi-goal learning
N Lair, C Colas, R Portelas, JM Dussoux, PF Dominey, PY Oudeyer
arXiv preprint arXiv:1911.03219, 2019
Compact convolutional neural networks for multi-class, personalised, closed-loop EEG-BCI
P Ortega, C Colas, AA Faisal
2018 7th IEEE International Conference on Biomedical Robotics and …, 2018
Guiding pretraining in reinforcement learning with large language models
Y Du, O Watkins, Z Wang, C Colas, T Darrell, P Abbeel, A Gupta, ...
arXiv preprint arXiv:2302.06692, 2023
Deep sets for generalization in rl
T Karch, C Colas, L Teodorescu, C Moulin-Frier, PY Oudeyer
arXiv preprint arXiv:2003.09443, 2020
Help me explore: Minimal social interventions for graph-based autotelic agents
A Akakzia, O Serris, O Sigaud, C Colas
arXiv preprint arXiv:2202.05129, 2022
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