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Reinforcement Learning and Game Theory

This repository is a work in progress.

This repository will provide supplementary material for the following books:

  • Sutton's Reinforcement Learning Second Edition
  • Dimitri Bertsekas' Reinforcement Learning and Optimal Control
  • Blackwell's Theory of Games and Statistical Decisions

We will go through some of the examples and excercises in the books and will write a Python code for solving those.

For the books on Reinforcement Learning we will discuss and go through the following RL packages - PyQLearning, keras-rl, tensorforce, RL Coach, RLib.

For Game Theory we will discuss and go through the following packages: NashPy and Gambit.

Selected Topics in Machine Learning

Note

This repository uses git Large File Storage feature. In order to download locally the large files (> 1MB) which are maintained by git LFS you will need to install the Git extension for versioning large files: https://git-lfs.com/

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Collection of materials and code samples on reinforcement learning / optimal control and game theory

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