Overview
Proximal Policy Optimization (PPO) is a specific, highly effective algorithm within the broader field of Reinforcement Learning (RL). While RL encompasses various methods for agents to learn through trial and error, PPO offers a stable and efficient approach to policy optimization, making it a popular choice for complex tasks.