Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains

Christian Gumbsch, Martin V. Butz, Georg Martius. Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains. 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 17518-17531, 2021. [doi]

@inproceedings{GumbschBM21-0,
  title = {Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains},
  author = {Christian Gumbsch and Martin V. Butz and Georg Martius},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/927b028cfa24b23a09ff20c1a7f9b398-Abstract.html},
  researchr = {https://researchr.org/publication/GumbschBM21-0},
  cites = {0},
  citedby = {0},
  pages = {17518-17531},
  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},
}