A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method

Munos, Rémi

doi:10.1161/circulationaha.110.955245

A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method

Rémi Munos

IJCAI 1997 pp. 826-831

doi:10.1161/circulationaha.110.955245 /ijcai/1997/munos1997ijcai-convergent/

Abstract

These results indicate that spontaneous activation of both Smad and non-Smad transforming growth factor-β signaling may contribute to profibrotic responses in aged PAI-1-deficient mice hearts and establish a possible link between endothelial-to-mesenchymal transition and cardiac fibrosis in PAI-1-deficient mice.

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Text

Munos. "A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method." International Joint Conference on Artificial Intelligence, 1997. doi:10.1161/circulationaha.110.955245

Markdown

[Munos. "A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/munos1997ijcai-convergent/) doi:10.1161/circulationaha.110.955245

BibTeX

@inproceedings{munos1997ijcai-convergent,
  title     = {{A Convergent Reinforcement Learning Algorithm in the Continuous Case Based on a Finite Difference Method}},
  author    = {Munos, Rémi},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1997},
  pages     = {826-831},
  doi       = {10.1161/circulationaha.110.955245},
  url       = {https://mlanthology.org/ijcai/1997/munos1997ijcai-convergent/}
}