Learning States Representations in POMDP
Abstract
We propose to deal with sequential processes where only partial observations are available by learning a latent representation space on which policies may be accurately learned.
Cite
Text
Contardo et al. "Learning States Representations in POMDP." International Conference on Learning Representations, 2014.Markdown
[Contardo et al. "Learning States Representations in POMDP." International Conference on Learning Representations, 2014.](https://mlanthology.org/iclr/2014/contardo2014iclr-learning/)BibTeX
@inproceedings{contardo2014iclr-learning,
title = {{Learning States Representations in POMDP}},
author = {Contardo, Gabriella and Denoyer, Ludovic and Artières, Thierry and Gallinari, Patrick},
booktitle = {International Conference on Learning Representations},
year = {2014},
url = {https://mlanthology.org/iclr/2014/contardo2014iclr-learning/}
}