@inproceedings{aissi-etal-2025-reinforcement,
    title = "Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting",
    author = "Aissi, Mohamed Salim  and
      Romac, Cl{\'e}ment  and
      Carta, Thomas  and
      Lamprier, Sylvain  and
      Oudeyer, Pierre-Yves  and
      Sigaud, Olivier  and
      Soulier, Laure  and
      Thome, Nicolas",
    editor = "Chiruzzo, Luis  and
      Ritter, Alan  and
      Wang, Lu",
    booktitle = "Findings of the Association for Computational Linguistics: NAACL 2025",
    month = apr,
    year = "2025",
    address = "Albuquerque, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-06/2025.findings-naacl.390/",
    doi = "10.18653/v1/2025.findings-naacl.390",
    pages = "7030--7046",
    ISBN = "979-8-89176-195-7"
}