MICo: Improved representations via sampling-based state similarity for Markov decision processes

Pablo Samuel Castro, Tyler Kastner, Prakash Panangaden, Mark Rowland. MICo: Improved representations via sampling-based state similarity for Markov decision processes. 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 30113-30126, 2021. [doi]

@inproceedings{CastroKPR21,
  title = {MICo: Improved representations via sampling-based state similarity for Markov decision processes},
  author = {Pablo Samuel Castro and Tyler Kastner and Prakash Panangaden and Mark Rowland},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/fd06b8ea02fe5b1c2496fe1700e9d16c-Abstract.html},
  researchr = {https://researchr.org/publication/CastroKPR21},
  cites = {0},
  citedby = {0},
  pages = {30113-30126},
  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},
}