Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction

Cite

Text

Pavse and Hanna. "Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction." AAAI Conference on Artificial Intelligence, 2023. doi:10.1609/AAAI.V37I8.26128

Markdown

[Pavse and Hanna. "Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction." AAAI Conference on Artificial Intelligence, 2023.](https://mlanthology.org/aaai/2023/pavse2023aaai-scaling/) doi:10.1609/AAAI.V37I8.26128

BibTeX

@inproceedings{pavse2023aaai-scaling,
  title     = {{Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction}},
  author    = {Pavse, Brahma S. and Hanna, Josiah P.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2023},
  pages     = {9417-9425},
  doi       = {10.1609/AAAI.V37I8.26128},
  url       = {https://mlanthology.org/aaai/2023/pavse2023aaai-scaling/}
}