"Deep reinforcement learning for optimal experimental design in biology."

Neythen J. Treloar et al. (2022)

> Home

Details and statistics

DOI: 10.1371/JOURNAL.PCBI.1010695

access: open

type: Journal Article

metadata version: 2023-05-17

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/ploscb/TreloarBIB22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ploscb/TreloarBIB22
Neythen J. Treloar, Nathan Braniff, Brian P. Ingalls, Chris P. Barnes:
Deep reinforcement learning for optimal experimental design in biology. PLoS Comput. Biol. 18(11): 1010695 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.