/rl-for-personalization

A Systematic Literature Review of Reinforcement Learning for Personalization

Primary LanguageJupyter Notebook

DOI

Data collected for "A Systematic Review of Reinforcement Learning for Personalization" by Floris den Hengst, Eoin Grua, Ali el Hassouni and Mark Hoogendoorn.

The list of publications analyzed can be found in the publications.csv file.

File structure

The file structure is modelled after the stages in the systematic literature process according to the PRISMA standard.

  • identification: query results from various databases
  • eligibility: eligibility checks for all unique identified records
  • collection: data collected
  • analysis: jupyter notebook with analysis of the collected data

For an interactive version of this tool, see florisdh.nl/rl4personalization.