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Some material relating to the paper Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return.
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poster
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README.md
cedar.sh
poster.pdf
presentation.pdf

README.md

variance-learning

This repository contains some material relating to the paper Comparing Direct and Indirect Temporal-Difference Methods for Estimating the Variance of the Return by Craig Sherstan, Dylan R. Ashley, Brendan Bennett, Kenny Young, Adam White, Martha White, and Richard S. Sutton. This paper was presented at the 2018 Conference on Uncertainty in Artificial Intelligence.

The following is included here:

  • src: the code used to generate the linear function approximation results in the paper
  • poster: the code used to generate the poster which accompanied the paper
  • presentation: the code used to generate one of the presentations which accompanied the paper
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