Bibliography (16):

1. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

2. Visualizing MuZero Models

3. α-Rank: Multi-Agent Evaluation by Evolution

4. NNUE: The neural network of the Stockfish chess engine

5. Learning Personalized Models of Human Behavior in Chess

6. Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess

7. How Does AI Improve Human Decision-Making? Evidence from the AI-Powered Go Program

8. Wikipedia Bibliography:

   1. https://en.wikipedia.org/wiki/Chess_opening  :

      https://en.wikipedia.org/wiki/Chess_opening

   2. https://en.wikipedia.org/wiki/Grandmaster_(chess)  :

      https://en.wikipedia.org/wiki/Grandmaster_(chess)

   3. Vladimir Kramnik  :

      https://en.wikipedia.org/wiki/Vladimir_Kramnik

   4. Generalized linear model

   5. https://en.wikipedia.org/wiki/King_(chess)  :

      https://en.wikipedia.org/wiki/King_(chess)

   6. https://en.wikipedia.org/wiki/ChessBase  :

      https://en.wikipedia.org/wiki/ChessBase

   7. https://en.wikipedia.org/wiki/King%27s_Pawn_Game  :

      https://en.wikipedia.org/wiki/King%27s_Pawn_Game

   8. https://en.wikipedia.org/wiki/King%27s_Knight_Opening  :

      https://en.wikipedia.org/wiki/King%27s_Knight_Opening

   9. https://en.wikipedia.org/wiki/Scotch_Game  :

      https://en.wikipedia.org/wiki/Scotch_Game