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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)Guiding Pretraining in Reinforcement Learning with Large Language Models., , , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8657-8677. PMLR, (2023)Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey., , , and . CoRR, (2020)CURIOUS: Intrinsically Motivated Multi-Task, Multi-Goal Reinforcement Learning., , , and . CoRR, (2018)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)ACES: Generating Diverse Programming Puzzles with Autotelic Language Models and Semantic Descriptors., , , and . CoRR, (2023)Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration., , , , , , and . NeurIPS, (2020)CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1331-1340. PMLR, (2019)When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions., , , , , , , and . CoRR, (2024)