Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation

Aivar Sootla, Alexander I. Cowen-Rivers, Taher Jafferjee, Ziyan Wang, David Henry Mguni, Jun Wang, Haitham Ammar. Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 20423-20443, PMLR, 2022. [doi]

@inproceedings{SootlaCJWMWA22,
  title = {Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation},
  author = {Aivar Sootla and Alexander I. Cowen-Rivers and Taher Jafferjee and Ziyan Wang and David Henry Mguni and Jun Wang and Haitham Ammar},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/sootla22a.html},
  researchr = {https://researchr.org/publication/SootlaCJWMWA22},
  cites = {0},
  citedby = {0},
  pages = {20423-20443},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}