AlphaZero Explained

AlphaZero is a reinforcement learning agent for playing board games such as Go, chess, and shogi.

AlphaZero Explained · On AI

Has the Alpha Zero chess program been made to play the Evans Gambit against itself, in an attempt to discover whether that gambit, with best play, is theoretically sound or whether White

Reinforcement learning explained

AlphaGo Zero – How and Why it Works – Tim Wheeler

Could someone explain this graph ( from Google Deep Mind - Alphazero article) : r/deepmind

AlphaGo Zero Explained In One Diagram, by David Foster, Applied Data Science

Alpha Zero and Monte Carlo Tree Search

Creative' AlphaZero leads way for chess computers and, maybe, science, Chess

DeepMind's AI is helping to re-write the rules of chess

Acquisition of Chess Knowledge in AlphaZero

Free Course: Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess (Paper Explained) from Yannic Kilcher

Lessons from AlphaZero for Optimal, by Dimitri P. Bertsekas

How the Artificial Intelligence Program AlphaZero Mastered Its Games

From-scratch implementation of AlphaZero for Connect4, by Wee Tee Soh

Electronics, Free Full-Text