Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

Xiong et al. "Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26409-2_15

[Xiong et al. "Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/xiong2022ecmlpkdd-defending/) doi:10.1007/978-3-031-26409-2_15

@inproceedings{xiong2022ecmlpkdd-defending,
  title     = {{Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising}},
  author    = {Xiong, Zikang and Eappen, Joe and Zhu, He and Jagannathan, Suresh},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {235-250},
  doi       = {10.1007/978-3-031-26409-2_15},
  url       = {https://mlanthology.org/ecmlpkdd/2022/xiong2022ecmlpkdd-defending/}
}