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# Tutorial on basic neural network concepts
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# Tutorial on basic reinforcement learning concepts concepts
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<!-- [![DOI](https://zenodo.org/badge/759758400.svg)](https://zenodo.org/doi/10.5281/zenodo.10792272)
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[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0) -->
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## Material for this tutorial
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- The theoretical lecture can be found here:
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<!-- - [Part 1: Introduction to reinforcement learning](https://github.com/machine-learning-tutorial/neural-networks/blob/main/slides/nns-part1.pdf) -->
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- [Part 1: Introduction to reinforcement learning](https://github.com/machine-learning-tutorial/reinforcement-learning/blob/main/lectures/intro_to_RL.pdf)
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- The tutorial in slide form is here
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<!-- - [Part 1: simple gridworld (no ML libraries)](https://machine-learning-tutorial.github.io/neural-networks/1-neural-networks.html#/) -->
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- The tutorial can be found here:
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- [RL_simple_gridworld.ipynb](https://github.com/machine-learning-tutorial/reinforcement-learning/blob/main/RL_simple_gridworld.ipynb)
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## Download the repository
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