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Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

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

A free pdf can be found here

But now examples of common supervised/unsupervised learning models will also be put here, in the supervised & unsupervised directories

Pull requests and bug report are welcome.

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/.

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Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

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