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Toward Teachable Autotelic Agents., , , , , and . IEEE Trans. Cogn. Dev. Syst., 15 (3): 1070-1084 (September 2023)Guiding Pretraining in Reinforcement Learning with Large Language Models., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8657-8677. PMLR, (2023)Towards Vygotskian Autotelic Agents : Learning Skills with Goals, Language and Intrinsically Motivated Deep Reinforcement Learning. (Agents Autotéliques Vygostkiens : Buts, Langage et Apprentissage Intrinsèquement Motivé).. University of Bordeaux, France, (2021)Deep Sets for Generalization in RL., , , , and . CoRR, (2020)Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments., , , and . CoRL, volume 100 of Proceedings of Machine Learning Research, page 835-853. PMLR, (2019)Automatic Curriculum Learning For Deep RL: A Short Survey., , , , and . IJCAI, page 4819-4825. ijcai.org, (2020)Survey track.EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models., , , , , , and . CoRR, (2020)CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1331-1340. PMLR, (2019)Large Language Models as Superpositions of Cultural Perspectives., , , , , and . CoRR, (2023)CLIC: Curriculum Learning and Imitation for Object Control in Nonrewarding Environments., , , and . IEEE Trans. Cogn. Dev. Syst., 13 (2): 239-248 (2021)