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ChessGPT: Bridging Policy Learning and Language Modeling Xidong Feng

Neural Information Processing Systems

Chess, one of the oldest and most universally played board games, presents an ideal testbed due to the wealth of both policy data and language data. In terms of policy data, it is reported that over ten million games are played daily on Chess.com, the most frequented online chess platform.




44feb0096faa8326192570788b38c1d1-AuthorFeedback.pdf

Neural Information Processing Systems

To Reviewer 1: [Intuition of benefits of advanced data augmentation] In line 198, we explained the theoretical3 connection between advanced data augmentation and better semi-supervised learning performance. We stated that4 "Importantly, the number of components is actually decided by the quality of the augmentation operation: an ideal5 augmentation should be able to reach all other examples of the same category given a starting instance.