Published May 5, 2022 | Version v1
Journal article Open

Deep Reinforcement Learning for Optimal Experimental Design in Biology

  • 1. University College London
  • 2. University of Waterloo

Description

Deep Reinforcement Learning for Optimal Experimental Design in Biology

Contained in this directory is the data used in the figures of the manuscript "Deep Reinforcement Learning for Optimal Experimental Design in Biology". To reconstruct the plots for each figure navigate to the respective directory and run

$ python plot.py

Data for all figures was generated in python and are contained in the numpy arrays in the relevant directories. 

Files

figure_2.zip

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Additional details

Funding

SynBioBrain – Building biological computers from bacterial populations 770835
European Commission