Lunar-Lander-Reinforcement-Learning

This project has been implemented with the gymnasium Framework: https://gymnasium.farama.org/environments/atari/freeway/

Minimal Trained	Final

Setup Instructions

1. Clone the Repository:

   git clone [https://github.com/JanMuehlnikel/Atari-Freeway-Reinforcement-Learning](https://github.com/JanMuehlnikel/Lunar-Lander-Reinforcement-Learning)
   cd your-repo

2. Create and Activate a New Conda Environment:

   conda create --name LunarEnv python=3.10
   conda activate LunarEnv
   

3. Install pip in the New Conda Environment:

   conda install pip

4. Install Packages from requirements.txt:

   pip install -r requirements.txt