Proximal Policy Optimization (PPO) is a reinforcement learning algorithm that has gained widespread use due to its efficiency, stability, and simplicity. It was introduced by OpenAI in 2017 as an improvement over earlier policy optimization methods like Trust Region Policy Optimization (TRPO). In reinforcement learning, the goal is for an agent to learn how to […]