Acquisition of Chess Knowledge in AlphaZero
69-pages paper of analysis how #AlphaZero plays chess. TLDR: lots of concepts self-learned by neural network can be mapped to human concepts.
This means that generally speaking we can train neural networks to do some task and then learn something from them. Opposite is also true: we might imagine teaching neural networks some human concepts in order to maek them more efficient.
Post: https://en.chessbase.com/post/acquisition-of-chess-knowledge-in-alphazero
Paper: https://arxiv.org/pdf/2111.09259.pdf
#RL
Team
@data_enthusiasts
@OpenArchiveBooks
69-pages paper of analysis how #AlphaZero plays chess. TLDR: lots of concepts self-learned by neural network can be mapped to human concepts.
This means that generally speaking we can train neural networks to do some task and then learn something from them. Opposite is also true: we might imagine teaching neural networks some human concepts in order to maek them more efficient.
Post: https://en.chessbase.com/post/acquisition-of-chess-knowledge-in-alphazero
Paper: https://arxiv.org/pdf/2111.09259.pdf
#RL
Team
@data_enthusiasts
@OpenArchiveBooks
Chess News
Acquisition of Chess Knowledge in AlphaZero
Researchers at DeepMind and Google Brain, in collaboration with Grandmaster Vladimir Kramnik, are working to explore what chess can teach us about AI and vice versa. Using Chessbase’s extensive historical chess data along with the AlphaZero neural network…