ML Anthology

AlphaGo or Beta-hCG: A Reinforcement Learning Framework for Assisted Conception

Simon Hanassab, Elizaveta Sheremetyeva, Sonali Parbhoo, Scott M. Nelson, Waljit S. Dhillo, Ali Abbara, Thomas Heinis
ICLRW 2025
/iclrw/2025/hanassab2025iclrw-alphago/

Abstract

Here, we consider a framework for RL-driven optimization to enhance reproductive medicine, where sequential decisions directly shape the probability of new life.

ICLRW OpenReview Semantic Scholar

Cite

Text

Hanassab et al. "AlphaGo or Beta-hCG: A Reinforcement Learning Framework for Assisted Conception." ICLR 2025 Workshops: AI4CHL, 2025.

Markdown

[Hanassab et al. "AlphaGo or Beta-hCG: A Reinforcement Learning Framework for Assisted Conception." ICLR 2025 Workshops: AI4CHL, 2025.](https://mlanthology.org/iclrw/2025/hanassab2025iclrw-alphago/)

BibTeX

@inproceedings{hanassab2025iclrw-alphago,
  title     = {{AlphaGo or Beta-hCG: A Reinforcement Learning Framework for Assisted Conception}},
  author    = {Hanassab, Simon and Sheremetyeva, Elizaveta and Parbhoo, Sonali and Nelson, Scott M. and Dhillo, Waljit S. and Abbara, Ali and Heinis, Thomas},
  booktitle = {ICLR 2025 Workshops: AI4CHL},
  year      = {2025},
  url       = {https://mlanthology.org/iclrw/2025/hanassab2025iclrw-alphago/}
}