Proximal Policy Optimization vs. Machine Learning: A

Overview

Proximal Policy Optimization (PPO) is a specific algorithm within the broader field of Machine Learning, particularly within Reinforcement Learning. While Machine Learning encompasses a wide range of techniques for enabling systems to learn from data, PPO is a specialized algorithm designed for training AI agents to make sequential decisions.