Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning

Guanlin Liu, Lifeng Lai. Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 12400-12410, 2021. [doi]

@inproceedings{LiuL21a-17,
  title = {Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning},
  author = {Guanlin Liu and Lifeng Lai},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/678004486c119599ed7d199f47da043a-Abstract.html},
  researchr = {https://researchr.org/publication/LiuL21a-17},
  cites = {0},
  citedby = {0},
  pages = {12400-12410},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}