Rémy Portelas

According to our database, Rémy Portelas authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning.

Anthony Kobanda, Waris Radji, Mathieu Petitbois, Odalric-Ambrym Maillard, Rémy Portelas

CoRR, June, 2025

Offline Learning of Controllable Diverse Behaviors.

Mathieu Petitbois, Rémy Portelas, Sylvain Lamprier, Ludovic Denoyer

CoRR, April, 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, April, 2025

Efficient Active Imitation Learning with Random Network Distillation.

Emilien Biré, Anthony Kobanda, Ludovic Denoyer, Rémy Portelas

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks.

Anthony Kobanda, Odalric-Ambrym Maillard, Rémy Portelas

Proceedings of the IEEE Conference on Games, 2025

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

Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning.

Anthony Kobanda, Rémy Portelas, Odalric-Ambrym Maillard, Ludovic Denoyer

CoRR, 2024

Navigation with QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning.

Alexi Canesse, Mathieu Petitbois, Ludovic Denoyer, Sylvain Lamprier, Rémy Portelas

CoRR, 2024

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

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

Large Language Models as Superpositions of Cultural Perspectives.

Grgur Kovac, Masataka Sawayama, Rémy Portelas, Cédric Colas, Peter Ford Dominey, Pierre-Yves Oudeyer

CoRR, 2023

2022

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

Rémy Portelas

PhD thesis, 2022

Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning.

Sébastien Forestier, Rémy Portelas, Yoan Mollard, Pierre-Yves Oudeyer

J. Mach. Learn. Res., 2022

2021

SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents.

Grgur Kovac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 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

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL.

Clément Romac, Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Meta Automatic Curriculum Learning.

Rémy Portelas, Clément Romac, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2020

Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning.

Rémy Portelas, Katja Hofmann, Pierre-Yves Oudeyer

CoRR, 2020

Automatic Curriculum Learning For Deep RL: A Short Survey.

Rémy Portelas, Cédric Colas, Lilian Weng, Katja Hofmann, Pierre-Yves Oudeyer

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments.

Rémy Portelas, Cédric Colas, Katja Hofmann, Pierre-Yves Oudeyer

Proceedings of the 3rd Annual Conference on Robot Learning, 2019