Overview
This project demonstrates the implementation of a reinforcement learning algorithm to train an agent to play the Cart Pole game. The code utilizes the Stable Baselines library and OpenAI Gymnasium, providing a comprehensive framework for reinforcement learning experiments.
Features
Stable Baselines: Utilize the Stable Baselines library, which provides high-quality implementations of popular reinforcement learning algorithms.
OpenAI Gymnasium Integration: Train and evaluate the agent in the Cart Pole environment provided by OpenAI Gymnasium.
Customizable: Experiment with different algorithms, hyperparameters, and reward structures to observe their impact on training performance.
Prerequisites
Make sure you have the following dependencies installed:
Stable Baselines
OpenAI Gymnasium