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alessiodm / drl-zh Public

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Deep Reinforcement Learning: Zero to Hero!

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alessiodm/drl-zh

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     Name            Name      Last commit message Last commit date
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.vscode         .vscode                             

assets          assets                              

solution        solution                            

util            util                                

.gitignore      .gitignore                          

00_Intro.ipynb  00_Intro.ipynb                      

01_MDPs.ipynb   01_MDPs.ipynb                       

02_RL.ipynb     02_RL.ipynb                         

03_DQN.ipynb    03_DQN.ipynb                        

04_PG.ipynb     04_PG.ipynb                         

05_AC.ipynb     05_AC.ipynb                         

06_PPO.ipynb    06_PPO.ipynb                        

07_Next.ipynb   07_Next.ipynb                       

LICENSE         LICENSE                             

README.md       README.md                           

poetry.lock     poetry.lock                         

pyproject.toml  pyproject.toml                      

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  * MIT license

Deep Reinforcement Learning: Zero to Hero!

 

Welcome to the most hands-on reinforcement learning experience!

This is a short and practical introductory course on foundational and
classic deep reinforcement learning algorithms. By the end of the
course, you will have written from scratch algorithms like DQN, SAC,
PPO, as well as understood at a high-level the theory behind them.

We will be able to train an AI to play Atari games and land on the
Moon!

[landing]

Environment Setup

 

To make sure we can focus on learning, the environment setup is
opinionated  Here it is:

  * Install Miniconda
    Why conda? Because it's a full envinronment manager, and we can
    choose the Python version too.

  * Checkout this Git repository, and cd into its folder.

  * Create and activate the drlzh virtual environment:

    conda create --name drlzh python=3.11
    conda activate drlzh

  * Install Poetry and install dependencies:
    Dependencies include gymnasium[accept-rom-license] for Atari.
    Make sure to accept the license agreement when installing the
    dependencies of the project via Poetry.

    pip install poetry
    poetry install

  * Install Visual Studio Code

How Do I Start?

 

Open this repository folder in Visual Studio Code (make sure to keep
the .vscode folder for settings consistency, running on Jupyter might
require some tweaks to code and imports).

Open the first 00_Intro.ipynb notebook in Visual Studio Code, and
follow along! From there, just keep moving on to the next notebooks.
If you get stuck, feel free to check the /solution folder.

For an expanded treatment and step-by-step coding, check out the
YouTube videos!

About

Deep Reinforcement Learning: Zero to Hero!

Topics

machine-learning reinforcement-learning deep-learning 
deep-reinforcement-learning

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License

MIT license
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  * Jupyter Notebook 99.8%
  * Python 0.2%

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