Bayesian and Attentive Aggregation for Cooperative Multi-Agent Deep Reinforcement Learning

My master's thesis. Written in Pandoc-Markdown.

To install the dependencies:

poetry install

To compile the website:

poetry run build/build.sh && poetry run manubot webpage

Then open webpage/index.html in your browser.

The above steps are automatically run by GitHub CI whenever you push.

To compile the LaTeX PDF:

DISPLAY=:0 poetry run build/build-pdf.sh

The pdf is then in output/manuscript.pdf.

The hosted version is here:

https://phiresky.github.io/masters-thesis/

The LaTeX PDF is here:

https://phiresky.github.io/masters-thesis/manuscript.pdf

This repository is based on Manubot: https://github.com/manubot/rootstock with the following changes:

1. Add the KIT ALR LaTeX thesis template and the build/build-pdf.sh script to build the thesis using LaTeX in an indistinguishable manner from if it had been written with LaTeX. This (sadly) does not run in GitHub CI due to lazyness.
2. Minor styling changes to the html template in build/themes/default.html
3. A pandoc filter that automatically converts all headings to title-case (that is a great idea -> That is a Great Idea)
4. A pandoc filter that automatically converts svgs to pdf (including complex ones that inkscape / the normal latex svg package can't handle)
5. Switches pandoc-xnos pandoc filter to pandoc-crossref mostly because I'm more familiar with that syntax
6. Switches pandoc-manubot-cite pandoc filter to pandoc-url2cite because it's my own