Day 21 – Reinforcement Learning Basics Explained
Introduction Reinforcement Learning (RL) is a cutting-edge branch of machine learning where agents learn to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties. Unlike supervised learning, RL focuses on sequential decision-making and long-term strategies, making it crucial for applications in robotics, gaming, autonomous systems, and finance. […]
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