Jupyter Notebook with reinforcement learning resolver
Channel: Thoth Station
Date: 23/11/2020

This demo shows how the reinforcement learning algorithm can explore the state space of software stacks and narrow down the resolution process. This notebook was used as a base for NeurIPS conference, for our talk in cooperation with IBM have a look at https://nips.cc/Conferences/2020/Schedule?showEvent=21302 
 and https://github.com/thoth-station/notebooks/blob/master/notebooks/development/Gradient-free%20reinforcement%20learning%20predictors.ipynb