Reinforcement Learning Explained: Agents, Actions, Rewards & Real-World Applications

In this video, we dive into the fascinating world of Reinforcement Learning (RL) – a key area in Artificial Intelligence (AI). We'll explain the core concepts like agents, actions, and rewards, and how these elements come together to help machines learn from their environments. Explore popular RL algorithms like Q-learning and policy gradients, and see how they're applied in real-world scenarios such as gaming, robotics, and self-driving cars. By the end, you'll have a solid understanding of how RL is transforming industries. Don't forget to like, comment, and subscribe for more AI and tech content!