Improve Robustness of Reinforcement Learning Against Observation Perturbations via L∞ Lipschitz Policy Networks

Cite

Text

Nie et al. "Improve Robustness of Reinforcement Learning Against Observation Perturbations via L∞ Lipschitz Policy Networks." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I13.29360

Markdown

[Nie et al. "Improve Robustness of Reinforcement Learning Against Observation Perturbations via L∞ Lipschitz Policy Networks." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/nie2024aaai-improve/) doi:10.1609/AAAI.V38I13.29360

BibTeX

@inproceedings{nie2024aaai-improve,
  title     = {{Improve Robustness of Reinforcement Learning Against Observation Perturbations via L∞ Lipschitz Policy Networks}},
  author    = {Nie, Buqing and Ji, Jingtian and Fu, Yangqing and Gao, Yue},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {14457-14465},
  doi       = {10.1609/AAAI.V38I13.29360},
  url       = {https://mlanthology.org/aaai/2024/nie2024aaai-improve/}
}