Reinforcement Learning Contributing Guide

Welcome to the contributing guide for our Reinforcement Learning project! If you're interested in contributing to the project, here's what you need to know:

• Project Overview
• Getting Started
• Contributing Guidelines
• Reporting Issues
• Further Reading

Project Overview

This project aims to provide a comprehensive platform for Reinforcement Learning enthusiasts and professionals. It includes various algorithms, tutorials, and resources to help you get started with Reinforcement Learning.

Getting Started

1. Fork the Repository: Fork this repository to your personal GitHub account.
2. Clone the Fork: Clone the forked repository to your local machine using git clone <your-forked-repo-url>.
3. Set Up the Environment: Follow the setup instructions to configure your development environment.

Contributing Guidelines

• Code of Conduct: Adhere to our Code of Conduct while contributing.
• Commit Messages: Use clear and concise commit messages.
• Pull Requests: Submit pull requests for code changes and feature additions.
• Testing: Ensure that your changes do not break existing functionality and pass all tests.

Reporting Issues

If you encounter any issues or have feature requests, please report them on the issue tracker.

Further Reading

• Introduction to Reinforcement Learning
• Popular Reinforcement Learning Algorithms

Reinforcement Learning