GitHub - zyxue/sutton-barto-rl-exercises: 📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

This repo originally intended to host my answers to the exercies for the book by Sutton & Barton, Reinforcement Learning: An Introduction

A free pdf can be found here

But now it has become more like a place for my own notes on anything related to ML/stats.

Note: if you find the formatting some notebooks (esp. with many equations) doesn't look good on github,, try visualize them on http://nbviewer.jupyter.org/github/zyxue/sutton-barto-rl-exercises/tree/master/.

Name		Name	Last commit message	Last commit date
Latest commit History 251 Commits
.vscode		.vscode
bandit		bandit
linear_algebra		linear_algebra
miscellaneous		miscellaneous
plotting_notes		plotting_notes
reinforcement		reinforcement
shap		shap
stats		stats
supervised		supervised
unsupervised		unsupervised
.gitignore		.gitignore
README.md		README.md
about-NaN.ipynb		about-NaN.ipynb
eda_imports.py		eda_imports.py
information-entropy-3D-TODO.ipynb		information-entropy-3D-TODO.ipynb
jacarrd-similarity-vs-simon-similarity.ipynb		jacarrd-similarity-vs-simon-similarity.ipynb
numba-cosine-distance-benchmark.ipynb		numba-cosine-distance-benchmark.ipynb
t-digest-experiment.ipynb		t-digest-experiment.ipynb
understand-meshgrid-and-mgrid-in-numpy.ipynb		understand-meshgrid-and-mgrid-in-numpy.ipynb

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