#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.