DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge

Deep neural networks are known to learn opaque, uninterpretable representations that lie beyond the grasp of human understanding. As such, from both scientific and practical viewpoints, it is intriguing to explore what is actually being learned and how in the case of superhuman self-taught neural network agents such as AlphaZero. In the new paper Acquisition

AI Taught Itself to Be the Best Chess Player in the World—What's Next? - The Ringer

AlphaZero Chess: How It Works, What Sets It Apart, and What It Can Tell Us, by Maxim Khovanskiy

The Rise of Chess AI: From Deep Blue to AlphaZero

Google's New AI Is a Master of Games, but How Does It Compare to the Human Mind?, Innovation

Google DeepMind Researchers Uncover the Power of AI Diversity in Tackling Chess Challenges: Introducing AZ_db, the Next Leap in Computational Problem-Solving - MarkTechPost

Robot taught itself never seen before chess moves in hours

World Chess Champion Explore How AlphaZero Learns Chess Knowledge

Acquisition of Chess Knowledge in AlphaZero – arXiv Vanity

Checkmate, humans? Google's AI programme takes just 4 hours to master chess - Hindustan Times

Acquisition of chess knowledge in AlphaZero

Understanding AlphaZero Neural Network's SuperHuman Chess Ability - MarkTechPost

Entire human chess knowledge learned and surpassed by DeepMind's AlphaZero in four hours