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Commit eabb0ff9 authored by Rahma FARSSI's avatar Rahma FARSSI :sparkler:
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Update README.md

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......@@ -3,7 +3,7 @@ MSO 3.4 Machine Learning
[![](https://img.shields.io/badge/License-MIT-blue.svg)](https://rfarssi.mit-license.org/)
[![Travis](https://img.shields.io/badge/language-Python-red.svg)]()
[![Travis](https://img.shields.io/badge/language-Python-red.svg)](https://www.python.org/)
# Description
This project will involve practical application, where we will begin by implementing a basic reinforcement learning algorithm to tackle the CartPole-v1 environment. Once we are comfortable with this initial process, we will expand our knowledge by utilizing a range of tools for model training, monitoring and sharing in machine learning. We will then apply these tools to train a robotic arm, further extending our understanding of how they can be used in practice.
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* [REINFORCE CartPole](#reinforce-cartpole)
* [CartPole-v1](#cartpole-v1)
* [PandaReachJointsDense-v2](#pandareachjointsdense-v2)
* [Further links](#further-links)
* [Hugging Face Hub](#hugging-face-hub)
* [Weights & Biases](#weights-biases)
* [About the Project](#about-the-project)
* [Project status](#project-status)
* [Contribution](#contribution)
......@@ -79,14 +82,14 @@ pip install panda_gym==2.0.0
# Further links
## Hugging Face Hub
Hugging Face Hub is a platform that allows users to upload and share their own models and datasets, collaborate with others, and track and manage different versions of their work.
`Hugging Face Hub` is a platform that allows users to upload and share their own models and datasets, collaborate with others, and track and manage different versions of their work.
The project's implementation on the plateform `Hugging Face` was saved here [here](https://huggingface.co/rfarssi00/hands-on-rl/tree/main).
The project's implementation was saved here [here](https://huggingface.co/rfarssi00/hands-on-rl/tree/main).
## Weights & Biases
Weights & Biases is a machine learning platform that allows users to visualize and compare training runs, track and analyze model performance, and streamline collaboration across teams.
`Weights & Biases` is a machine learning platform that allows users to visualize and compare training runs, track and analyze model performance, and streamline collaboration across teams.
The model's training process has been monitored and is shown [here]().
<!-- The model's training process has been monitored and is shown [here]().-->
# About the Project
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