Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning

Shuang Qiu, Lingxiao Wang, Chenjia Bai, Zhuoran Yang, Zhaoran Wang. Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning. 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 18168-18210, PMLR, 2022. [doi]

@inproceedings{QiuWBYW22,
  title = {Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning},
  author = {Shuang Qiu and Lingxiao Wang and Chenjia Bai and Zhuoran Yang and Zhaoran Wang},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/qiu22c.html},
  researchr = {https://researchr.org/publication/QiuWBYW22},
  cites = {0},
  citedby = {0},
  pages = {18168-18210},
  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},
}