| CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning C Colas, O Sigaud, PY Oudeyer Accepted at ICML 2019, 2018 | 173 | 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 | 144 | 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 | 105 | 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 | 103 | 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 | 78* | 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 | 67 | 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 | 65 | 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 | 61* | 2020 |
| A hitchhiker's guide to statistical comparisons of reinforcement learning algorithms C Colas, O Sigaud, PY Oudeyer arXiv preprint arXiv:1904.06979, 2019 | 52 | 2019 |
| Grounding language to autonomously-acquired skills via goal generation A Akakzia, C Colas, PY Oudeyer, M Chetouani, O Sigaud ICLR 2021, 2020 | 44 | 2020 |
| Towards Teachable Autotelic agents O Sigaud, H Caselles-Dupré, C Colas, A Akakzia, PY Oudeyer, ... arXiv preprint arXiv:2105.11977, 2021 | 19* | 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 | 18 | 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 | 15 | 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 | 12 | 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 | 9* | 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 | 9 | 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 | 8 | 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 | 7 | 2023 |
| Deep sets for generalization in rl T Karch, C Colas, L Teodorescu, C Moulin-Frier, PY Oudeyer arXiv preprint arXiv:2003.09443, 2020 | 7 | 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 | 4 | 2022 |
Pierre-Yves OudeyerResearch director, InriaVerified email at inria.fr
