Welcome to the installation guide for the RL Simulator! 🚀 This tutorial will walk you through setting up the environment to start using our reinforcement learning simulation tools.

Prerequisites

Before installation, ensure you have:

  • Python 3.8+ installed (✅ Python Installation Guide)
  • A supported operating system (Windows/macOS/Linux)
  • Basic understanding of command-line interfaces

Installation Steps

  1. Clone the Repository 

    git clone https://github.com/your-org/rl-simulator.git
    rl_simulator_setup

  2. Install Dependencies
    Navigate to the project directory and run: 

    pip install -r requirements.txt

  3. Verify Installation
    Execute the test script to confirm everything is working: 

    python test_install.py

Next Steps

Once installed, you can proceed to:
✅ Quick Start Tutorial
📌 Environment Configuration Tips

For advanced users, explore our API Documentation to customize simulations. 📚