Deep Recurrent Q-Learning vs Deep Q-Learning on a simple Partially Observable Markov Decision Process with Minecraft. - Clément Romac; Vincent Béraud (CoRR, 2019)

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)

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning. - Thomas Carta; Clément Romac; Thomas Wolf; Sylvain Lamprier; Olivier Sigaud; Pierre-Yves Oudeyer (ICML, 2023)

Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent. - Quentin Gallouédec; Edward Beeching; Clément Romac; Emmanuel Dellandréa (CoRR, 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)

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 (NAACL (Findings), 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, 2025)

WorldLLM: Improving LLMs' world modeling using curiosity-driven theory-making. - Guillaume Levy; Cédric Colas; Pierre-Yves Oudeyer; Thomas Carta; Clément Romac (CoRR, 2025)

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents. - Thomas Carta; Clément Romac; Loris Gaven; Pierre-Yves Oudeyer; Olivier Sigaud; Sylvain Lamprier (CoRR, 2025)