| CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning C Colas, O Sigaud, PY Oudeyer ICML 2019, 2018 | 232* | 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 | 198 | 2020 |
| Guiding Pretraining in Reinforcement Learning with Large Language Models Y Du, O Watkins, Z Wang, C Colas, T Darrell, P Abbeel, A Gupta, ... ICML 2023, 2023 | 192 | 2023 |
| GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms C Colas, O Sigaud, PY Oudeyer ICML 2018 80, 1039-1048, 2018 | 184 | 2018 |
| 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 | 160 | 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 | 135 | 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 | 133* | 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 | 113 | 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 | 100 | 2020 |
| A hitchhiker's guide to statistical comparisons of reinforcement learning algorithms C Colas, O Sigaud, PY Oudeyer arXiv preprint arXiv:1904.06979, 2019 | 94 | 2019 |
| Grounding language to autonomously-acquired skills via goal generation A Akakzia, C Colas, PY Oudeyer, M Chetouani, O Sigaud ICLR 2021, 2020 | 72 | 2020 |
| Large Language Models as Superpositions of Cultural Perspectives G Kovač, M Sawayama, R Portelas, C Colas, PF Dominey, PY Oudeyer arXiv preprint arXiv:2307.07870, 2023 | 34 | 2023 |
| Augmenting Autotelic Agents with Large Language Models C Colas, L Teodorescu, PY Oudeyer, X Yuan, MA Côté CoLLAs 2023, 2023 | 31 | 2023 |
| 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 | 30* | 2022 |
| 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 | 30 | 2019 |
| Towards Teachable Autotelic agents O Sigaud, H Caselles-Dupré, C Colas, A Akakzia, PY Oudeyer, ... IEEE Transactions on Cognitive and Developmental Systems, 2021 | 28* | 2021 |
| 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 | 23 | 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 | 22 | 2020 |
| 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 | 13 | 2019 |
| Deep sets for generalization in rl T Karch, C Colas, L Teodorescu, C Moulin-Frier, PY Oudeyer arXiv preprint arXiv:2003.09443, 2020 | 9 | 2020 |
Pierre-Yves OudeyerResearch director, InriaVerified email at inria.fr
