| 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 | 341 | 2023 |
| 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 | 283 | 2020 |
| CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning C Colas, O Sigaud, PY Oudeyer ICML 2019, 2018 | 274* | 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 | 201 | 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 | 200 | 2020 |
| GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms C Colas, O Sigaud, PY Oudeyer ICML 2018 80, 1039-1048, 2018 | 200 | 2018 |
| How many random seeds? statistical power analysis in deep reinforcement learning experiments C Colas, O Sigaud, PY Oudeyer arXiv preprint arXiv:1806.08295, 2018 | 164* | 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 | 143 | 2020 |
| A hitchhiker's guide to statistical comparisons of reinforcement learning algorithms C Colas, O Sigaud, PY Oudeyer arXiv preprint arXiv:1904.06979, 2019 | 119 | 2019 |
| 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 | 117 | 2020 |
| Grounding language to autonomously-acquired skills via goal generation A Akakzia, C Colas, PY Oudeyer, M Chetouani, O Sigaud ICLR 2021, 2020 | 99 | 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 | 87 | 2023 |
| Augmenting Autotelic Agents with Large Language Models C Colas, L Teodorescu, PY Oudeyer, X Yuan, MA Côté CoLLAs 2023, 2023 | 53 | 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 | 52* | 2022 |
| Towards Teachable Autotelic agents O Sigaud, H Caselles-Dupré, C Colas, A Akakzia, PY Oudeyer, ... IEEE Transactions on Cognitive and Developmental Systems, 2021 | 35* | 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 | 30 | 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 | 29 | 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 | 27 | 2020 |
| A definition of open-ended learning problems for goal-conditioned agents O Sigaud, G Baldassarre, C Colas, S Doncieux, R Duro, PY Oudeyer, ... arXiv preprint arXiv:2311.00344, 2023 | 26 | 2023 |
| ACES: Generating a diversity of challenging programming puzzles with autotelic generative models J Pourcel, C Colas, G Molinaro, PY Oudeyer, L Teodorescu Advances in Neural Information Processing Systems 37, 67627-67662, 2024 | 19* | 2024 |
Pierre-Yves OudeyerResearch director, InriaVerified email at inria.fr
