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This was a project that I started working on in 2023, the goal was to reimplment the PPO algorithm for the Cassie robot. It was left to rot for a while, I tried getting back to the project recently and refactor the code making it more stable and easier to use.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
- python3.10 or higher
sudo apt-get install python3.10
- Clone the repo
git clone https://github.com/alhussein-jamil/CassieRobot.git
- Install
make install
- Train the model
make train
- Run tensorboard
make tensorboard
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
- Feature 1
- Feature 2
- Feature 3
- Nested Feature
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt
for more information.
Your Name - @twitter_handle - [email protected]@[email protected]_client.com
Project Link: https://github.com/alhussein-jamil/CassieRobot