Tag: Proximal Policy Optimization (PPO)

Introduction to Reinforcement Learning (RL) Reinforcement Learning (RL) is a branch of machine learning where an agent learns to make decisions by interacting with its environment. Instead of relying on labeled data, RL focuses on learning through trial and error, guided by a reward system. The agent aims to maximize cumulative rewards by taking actions… Read more