You can find the complete table in their paper. See table 2 in the arXiv version linked below:
How to read them:
- The plots show the proportion of times alphazero played a given opening during its self-training games as a function of training time. So e.g., you can see that its interest in employing the French defense peaked after 2 hours, but past that, it abruptly drops to near 0, indicating that after 2 hours+ training it realised the emergent lines from that opening are non-optimal compared to other choices, such as the Caro-Kann defense (which had a promising plateau after 2 hours but eventually dropped too, plot shown below).
- Then below the diagrams, you see how it fared against Stockfish in 100 game matches for each line. Finally, alphazero's principal variation for each opening is also indicated below the plots. Please see the table's caption in the paper for any other details.
Overall, the English opening stands out: it kept employing it consistently throughout its training. Ultimately, the pattern suggests a tendency towards more versatile openings.
Caro-Kann diagram from table 2: [Ref]
[Ref]: Silver, David, et al. "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm." arXiv preprint arXiv:1712.01815 (2017)