Clément Romac

According to our database, Clément Romac authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents.

Thomas Carta, Clément Romac, Loris Gaven, Pierre-Yves Oudeyer, Olivier Sigaud, Sylvain Lamprier

CoRR, August, 2025

WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making.

Guillaume Levy, Cédric Colas, Pierre-Yves Oudeyer, Thomas Carta, Clément Romac

CoRR, June, 2025

MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces.

Loris Gaven, Thomas Carta, Clément Romac, Cédric Colas, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

CoRR, February, 2025

Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting.

Mohamed Salim Aissi, Clément Romac, Thomas Carta, Sylvain Lamprier, Pierre-Yves Oudeyer, Olivier Sigaud, Laure Soulier, Nicolas Thome

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

SAC-GLAM: Improving Online RL for LLM agents with Soft Actor-Critic and Hindsight Relabeling.

Loris Gaven, Clément Romac, Thomas Carta, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

CoRR, 2024

Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent.

Quentin Gallouédec, Edward Beeching, Clément Romac, Emmanuel Dellandréa

CoRR, 2024

2023

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning.

Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer

Proceedings of the International Conference on Machine Learning, 2023

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

2019

Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft.

Clément Romac, Vincent Béraud

CoRR, 2019