Rémy Portelas

According to our database1, Rémy Portelas authored at least 22 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

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

Offline Learning of Controllable Diverse Behaviors.
CoRR, April, 2025

Navigation With QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning.
Proceedings of the International Joint Conference on Neural Networks, 2025

Efficient Active Imitation Learning with Random Network Distillation.
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

A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks.
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

Hierarchical Subspaces of Policies for Continual Offline Reinforcement Learning.
CoRR, 2024

Stick to your Role! Stability of Personal Values Expressed in Large Language Models.
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

Large Language Models as Superpositions of Cultural Perspectives.
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

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Meta Automatic Curriculum Learning.
CoRR, 2020

Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning.
CoRR, 2020

Automatic Curriculum Learning For Deep RL: A Short Survey.
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


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