AlphaGo Zero: The Reinforcement Learning Algorithm That Mastered Go
Introduction to AlphaGo Zero: AlphaGo Zero is a groundbreaking reinforcement learning algorithm developed by DeepMind, a British AI company that was acquired by Google in 2015. It is an improved version of the original AlphaGo algorithm that defeated the world champion Lee Sedol in a five-game Go match in 2016. What makes AlphaGo Zero so remarkable is that it was able to achieve superhuman performance in the game of Go without any human-supervised learning, instead relying solely on self-play. The development of AlphaGo Zero represents a significant breakthrough in artificial intelligence, as it demonstrates the power of reinforcement learning and neural networks in solving complex problems. In the following sections, we will explore the key concepts behind AlphaGo Zero, including reinforcement learning, neural network architecture, and self-play. Understanding Reinforcement Learning: Reinforcement learning is a type of machine learning where an agent learns t...