Rémy Portelas
According to our database1,
Rémy Portelas authored at least 22 papers
between 2019 and 2026.
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Bibliography
2026
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment.
CoRR, January, 2026
2025
Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning.
CoRR, June, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data?
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the IEEE Conference on Games, 2025
2024
The SocialAI school: a framework leveraging developmental psychology toward artificial socio-cultural agents.
Frontiers Neurorobotics, 2024
CoRR, 2024
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
2023
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents.
CoRR, 2023
2022
Automatic Curriculum Learning for Developmental Machine Learners. (Génération automatique de curriculum pour apprenants artificiels).
PhD thesis, 2022
Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning.
J. Mach. Learn. Res., 2022
2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents.
CoRR, 2021
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents.
CoRR, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning.
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019