Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability

Keith Bush, Joelle Pineau. Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability. In Yoshua Bengio, Dale Schuurmans, John D. Lafferty, Christopher K. I. Williams, Aron Culotta, editors, Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. pages 189-197, Curran Associates, Inc., 2009. [doi]

@inproceedings{BushP09,
  title = {Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability},
  author = {Keith Bush and Joelle Pineau},
  year = {2009},
  url = {http://books.nips.cc/papers/files/nips22/NIPS2009_0189.pdf},
  researchr = {https://researchr.org/publication/BushP09},
  cites = {0},
  citedby = {0},
  pages = {189-197},
  booktitle = {Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada},
  editor = {Yoshua Bengio and Dale Schuurmans and John D. Lafferty and Christopher K. I. Williams and Aron Culotta},
  publisher = {Curran Associates, Inc.},
  isbn = {9781615679119},
}