What Are Reinforcement Learning Algorithms?

Reinforcement Learning Algorithms are an important part of machine learning where systems learn by interacting with an environment and improving their decisions through rewards and penalties. From Q-Learning to Deep Q Networks, these algorithms help power applications like robotics, game AI, recommendation systems, and self-driving technology. The IoT Academy shares the core concepts, working process, and practical examples to help readers clearly understand how reinforcement learning works in real-world scenarios.