Publications

This page links to scientific articles of the Flowers Lab discussed in the blog, as well as some of our previous publications on which they build. A full list of publications of the Flowers Lab is available here.

Target articles discussed in this blog

• Abdelghani, R., Oudeyer, P. Y., Law, E., de Vulpillières, C., & Sauzéon, H. (2022) [Conversational agents for fostering curiosity-driven learning in children] (https://arxiv.org/abs/2204.03546). In IJHCS 2022. Blog post

• Lemesle, Y., Sawayama, M., Valle-Perez, G., Adolphe, M., Sauzéon, H., & Oudeyer, P. Y. (2022) Language-biased image classification: evaluation based on semantic representations. In ICLR 2022. Blog post

• Barde, P., Karch, T., Nowrouzezahrai, D., Moulin-Frier, C., Pal, C., & Oudeyer, P. Y. (2022) Learning to Guide and to Be Guided in the Architect-Builder Problem. In ICLR 2022. Blog post

• Colas, C., Karch, T., Lair, N., Dussoux, J. M., Moulin-Frier, C., Dominey, P. F., & Oudeyer, P. Y. (2020). Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration. In NeurIPS 2020. Blog post.

• Akakzia, A., Colas, C., Oudeyer, P. Y., Chetouani, M., & Sigaud, O. (2021, May). Grounding Language to Autonomously-Acquired Skills via Goal Generation. In ICLR 2021. Blog post.

• Reinke, C., Etcheverry, M., & Oudeyer, P. Y. (2020). Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems. In International Conference on Learning Representations (ICLR 2020). Blog post.

• Colas, C., Sigaud, O., Oudeyer, P. Y. (2018). CURIOUS : Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning. Accepted at Deep RL Workshop, NIPS 2018. Blog post

• Laversanne-Finot, A., Péré, A., & Oudeyer, P. Y. (2018). Curiosity driven exploration of learned disentangled goal spaces. in Conference on Robot Learning (CoRL 2018). Blog post.

• Péré, A., Forestier, S., Sigaud, O., & Oudeyer, P. Y. (2018). Unsupervised learning of goal spaces for intrinsically motivated goal exploration. International Conference on Learning Representations (ICLR 2018).

• Colas, C., Sigaud, O., Oudeyer, P. Y. (2019). A Hitchhiker’s Guide to Statistical Comparisons of Reinforcement Learning Algorithms. Blog post

• Colas, C., Sigaud, O., Oudeyer, P. Y. (2018). How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments.

• Colas, C., Sigaud, O., Oudeyer, P.. (2018). GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms. Proceedings of the 35th International Conference on Machine Learning, in PMLR 80:1039-1048

Other selected publications

• Gottlieb, J., & Oudeyer, P. Y. (2018). Towards a neuroscience of active sampling and curiosity. Nature Reviews Neuroscience, 19(12), 758-770.

• Forestier, S., Mollard, Y., & Oudeyer, P. Y. (2017). Intrinsically motivated goal exploration processes with automatic curriculum learning. arXiv preprint arXiv:1708.02190.

• Moulin-Frier, C., Nguyen, S. M., & Oudeyer, P. Y. (2014). Self-organization of early vocal development in infants and machines: the role of intrinsic motivation. Frontiers in psychology, 4, 1006.

• Oudeyer, P. Y., & Smith, L. B. (2016). How evolution may work through curiosity‐driven developmental process. Topics in Cognitive Science, 8(2), 492-502.

• Oudeyer, P. Y., & Kaplan, F. (2009). What is intrinsic motivation? A typology of computational approaches. Frontiers in neurorobotics, 1, 6.

• Oudeyer, P. Y., Kaplan, F., & Hafner, V. V. (2007). Intrinsic motivation systems for autonomous mental development. IEEE transactions on evolutionary computation, 11(2), 265-286.