PPO-for-Beginners
This guide provides a clear, step-by-step implementation of Proximal Policy Optimization (PPO) using PyTorch, with detailed documentation on setting up environments and models. It simplifies PPO for those unfamiliar with Reinforcement Learning, offering hands-on insights into continuous action and observation spaces, aligned with OpenAI's Spinning Up pseudocode. This resource includes instructions for training new models and testing existing ones, accompanied by practical coding insights and tutorials, perfect for beginners in machine learning.
