Understanding Markov Property And Markov Chains

# Understanding Markov Property And Markov Chains Ever wondered how machines can learn to play games like chess or Go at a superhuman level? Or how self-driving cars navigate complex traffic scenarios? The answer often lies in Reinforcement Learning (RL), a powerful technique that allows agents to learn through trial and error. But at the heart of many RL algorithms lie two fundamental concepts: the Markov Property and Markov Chains. Understanding these concepts is crucial because they provide