@ARTICLE{2026arXiv260107821L,
       author = {{Li}, Huanyu and {Lei}, Kun and {Zang}, Sheng and {Hu}, Kaizhe and {Liang}, Yongyuan and {An}, Bo and {Li}, Xiaoli and {Xu}, Huazhe},
        title = "{Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation}",
      journal = {arXiv e-prints},
     keywords = {Robotics, Artificial Intelligence, Machine Learning},
         year = 2026,
        month = jan,
          eid = {arXiv:2601.07821},
        pages = {arXiv:2601.07821},
          doi = {10.48550/arXiv.2601.07821},
archivePrefix = {arXiv},
       eprint = {2601.07821},
 primaryClass = {cs.RO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026arXiv260107821L},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}