VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning. - Thomas Carta; Subhajit Chaudhury; Kartik Talamadupula; Michiaki Tatsubori (CoRR, 2020)

EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL. - Thomas Carta; Pierre-Yves Oudeyer; Olivier Sigaud; Sylvain Lamprier (NeurIPS, 2022)

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)

Leveraging Visual Handicaps for Text-Based Reinforcement Learning. - Subhajit Chaudhury; Keerthiram Murugesan; Thomas Carta; Kartik Talamadupula; Michiaki Tatsubori (ICASSP, 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)