https://github.com/Twinklstar/Deep-Reinforement-Learning

A repository for learning deep reinforcement learning
https://github.com/Twinklstar/Deep-Reinforement-Learning

ai algorithms deep-reinforcement-learning gymnasium neural-network pytorch reinforcement-learning reinforcement-learning-agent reinforcement-learning-environments simulation

Last synced: 3 months ago
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A repository for learning deep reinforcement learning

• Host: GitHub
• URL: https://github.com/Twinklstar/Deep-Reinforement-Learning
• Owner: NIN0vATI0N
• Created: 2024-11-16T16:42:20.000Z (11 months ago)
• Default Branch: trunk
• Last Pushed: 2024-11-16T19:23:06.000Z (11 months ago)
• Last Synced: 2024-12-02T16:28:03.467Z (11 months ago)
• Topics: ai, algorithms, deep-reinforcement-learning, gymnasium, neural-network, pytorch, reinforcement-learning, reinforcement-learning-agent, reinforcement-learning-environments, simulation
• Language: Jupyter Notebook
• Homepage:
• Size: 865 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Deep Reinforcement Learning

![Intro to RL](https://raw.githubusercontent.com/NIN0vATI0N/Deep-Reinforement-Learning/trunk/assets/intro-to-rl-1.jpg)

This repository reflects my learning journey to master the depth of the reinforcement learning field.

# Tech Stack

* [Python v3.12.7](https://www.python.org/)

* [Gymnasium](https://gymnasium.farama.org/)

* [Numpy](https://numpy.org/)

Installation can be done with:

```shell

pyenv install 3.12.7

pyenv virtualenv 3.12.7 drl

pyenv local drl

pip3 install gymnasium ipykernel matplotlib moviepy mpl_toolkits.clifford numpy pygame swig torch 

```

# Materials

| Notebook | Content |

| -------- | ------- |

| [00-DRL_Introduction.ipynb](./src/notebooks/00-DRL_Introduction.ipynb) | RL Fundamental Concepts and Algorithms |

# Credits

* Some concepts and exercises are taken from Udacity.

* Some figures/images are taken from Udacity.

Shout out to them and please consider to take their Nano Degree program [Deep Reinforcement Learning](https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893).