https://github.com/timoklein/ma_thesis

Combining Reinforcement Learning and Search for Cooperative Trajectory Planning
https://github.com/timoklein/ma_thesis

alphazero deep-reinforcement-learning latex-document mcts reinforcement-learning thesis

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Combining Reinforcement Learning and Search for Cooperative Trajectory Planning

Host: GitHub
URL: https://github.com/timoklein/ma_thesis
Owner: timoklein
Created: 2021-08-06T06:36:18.000Z (about 4 years ago)
Default Branch: main
Last Pushed: 2021-08-19T13:37:24.000Z (about 4 years ago)
Last Synced: 2025-02-23T17:44:23.695Z (8 months ago)
Topics: alphazero, deep-reinforcement-learning, latex-document, mcts, reinforcement-learning, thesis
Language: TeX
Homepage:
Size: 14.7 MB
Stars: 1
Watchers: 2
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

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README

# Combining Reinforcement Learning and Search for CooperativeTrajectory Planning
This repository contains the LaTeX code together with all plots and files to generate my thesis pdf.

## Notes
- Plots were created using seaborn and plotly. The `.pdf_tex` files can then be generated using [inkscape](https://inkscape.org/).
- The project was written and compiled with [Overleaf](https://www.overleaf.com/).
- The thesis uses the aifb thesis template which can be found [here](https://www.aifb.kit.edu/web/Abschlussarbeiten/en)

## Where is the code?
The project into which my thesis is embedded is unfortunately not open sourced yet. This is however planned. Once the project is on GitHub I will provide a link to it in this section.

## Examples
Below are some example plots.

### Guided Monte Carlo tree search