FAIR open-sources new ELF OpenGo data set, research, and insights

What this post added

FAIR open-sourced a retrained model of ELF OpenGo using reinforcement learning, which outperforms previous versions. This release includes 20 million self-play games, 1,500 intermediate models, a Windows executable bot for training aid, a new data archive, and an analysis of 87,000 professional Go games over 300 years. An interactive tool provides visualization of this archive and analysis. A new paper details insights that could help researchers understand the underlying mechanisms and apply them beyond Go.