ML Anthology

Lessons on Off-Policy Methods from a Notification Component of a Chatbot

Scott Rome, Tianwen Chen, Michael Kreisel, Ding Zhou
MLJ 2021 pp. 2577-2602
doi:10.1007/S10994-021-05978-9 /mlj/2021/rome2021mlj-lessons/
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Cite

Text

Rome et al. "Lessons on Off-Policy Methods from a Notification Component of a Chatbot." Machine Learning, 2021. doi:10.1007/S10994-021-05978-9

Markdown

[Rome et al. "Lessons on Off-Policy Methods from a Notification Component of a Chatbot." Machine Learning, 2021.](https://mlanthology.org/mlj/2021/rome2021mlj-lessons/) doi:10.1007/S10994-021-05978-9

BibTeX

@article{rome2021mlj-lessons,
  title     = {{Lessons on Off-Policy Methods from a Notification Component of a Chatbot}},
  author    = {Rome, Scott and Chen, Tianwen and Kreisel, Michael and Zhou, Ding},
  journal   = {Machine Learning},
  year      = {2021},
  pages     = {2577-2602},
  doi       = {10.1007/S10994-021-05978-9},
  volume    = {110},
  url       = {https://mlanthology.org/mlj/2021/rome2021mlj-lessons/}
}