The Chess Transformer: Mastering Play using Generative Language Models

2 Aug 2020 David Noever Matt Ciolino Josh Kalin

This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games. In addition to learning natural language skills, the abstract transformer architecture can generate meaningful moves on a chessboard... (read more)

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