Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments. - Rémy Portelas; Cédric Colas; Katja Hofmann; Pierre-Yves Oudeyer (CoRL, 2019)

Language Grounding through Social Interactions and Curiosity-Driven Multi-Goal Learning. - Nicolas Lair; Cédric Colas; Rémy Portelas; Jean-Michel Dussoux; Peter F. Dominey; Pierre-Yves Oudeyer (ViGIL@NeurIPS, 2019)

Automatic Curriculum Learning For Deep RL: A Short Survey. - Rémy Portelas; Cédric Colas; Lilian Weng; Katja Hofmann; Pierre-Yves Oudeyer (IJCAI, 2020)

Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning. - Rémy Portelas; Katja Hofmann; Pierre-Yves Oudeyer (CoRR, 2020)

Meta Automatic Curriculum Learning. - Rémy Portelas; Clément Romac; Katja Hofmann; Pierre-Yves Oudeyer (CoRR, 2020)

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL. - Clément Romac; Rémy Portelas; Katja Hofmann; Pierre-Yves Oudeyer (ICML, 2021)

SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. - Grgur Kovac; Rémy Portelas; Katja Hofmann; Pierre-Yves Oudeyer (CoRR, 2021)

SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents. - Grgur Kovac; Rémy Portelas; Katja Hofmann; Pierre-Yves Oudeyer (CoRR, 2021)

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning. - Sébastien Forestier; Rémy Portelas; Yoan Mollard; Pierre-Yves Oudeyer (J. Mach. Learn. Res., 2022)

Automatic Curriculum Learning for Developmental Machine Learners. (Génération automatique de curriculum pour apprenants artificiels). - Rémy Portelas (2022)

Large Language Models as Superpositions of Cultural Perspectives. - Grgur Kovac; Masataka Sawayama; Rémy Portelas; Cédric Colas; Peter Ford Dominey; Pierre-Yves Oudeyer (CoRR, 2023)

The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents. - Grgur Kovac; Rémy Portelas; Peter Ford Dominey; Pierre-Yves Oudeyer (CoRR, 2023)

Stick to your Role! Stability of Personal Values Expressed in Large Language Models. - Grgur Kovac; Rémy Portelas; Masataka Sawayama; Peter Ford Dominey; Pierre-Yves Oudeyer (CoRR, 2024)

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning. - Alexi Canesse; Mathieu Petitbois; Ludovic Denoyer; Sylvain Lamprier; Rémy Portelas (CoRR, 2024)

Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning. - Anthony Kobanda; Rémy Portelas; Odalric-Ambrym Maillard; Ludovic Denoyer (CoRR, 2024)

The SocialAI school: a framework leveraging developmental psychology toward artificial socio-cultural agents. - Grgur Kovac; Rémy Portelas; Peter Ford Dominey; Pierre-Yves Oudeyer (Frontiers Neurorobotics, 2024)

A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks. - Anthony Kobanda; Odalric-Ambrym Maillard; Rémy Portelas (CoG, 2025)

Efficient Active Imitation Learning with Random Network Distillation. - Emilien Biré; Anthony Kobanda; Ludovic Denoyer; Rémy Portelas (ICLR, 2025)

Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? - Grgur Kovac; Jérémy Perez; Rémy Portelas; Peter Ford Dominey; Pierre-Yves Oudeyer (CoRR, 2025)

Offline Learning of Controllable Diverse Behaviors. - Mathieu Petitbois; Rémy Portelas; Sylvain Lamprier; Ludovic Denoyer (CoRR, 2025)

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning. - Anthony Kobanda; Waris Radji; Mathieu Petitbois; Odalric-Ambrym Maillard; Rémy Portelas (CoRR, 2025)