In this episode of DevLand Diaries, host Michael Kessler demystifies the world of AI decision-making by diving into the Multi-Armed Bandit problem and the basics of Reinforcement Learning. Learn how AI balances exploration and exploitation—like choosing the best slot machine in a casino—and discover how agents learn from rewards to make smarter decisions. Whether you're a tech enthusiast or just curious about how machines learn from experience, this episode breaks down complex concepts into fun, relatable insights. Tune in to explore the fundamentals that power modern AI!
