This is what First Novelty's curves look like when engines learn drawish openings :
Eman experience vs Eman only (LS1)
![Image](https://i.imgur.com/Ff9VDH9.jpg)
Here, Eman Experience trained with a sparring-partner having the same playing style and without learning feature (Eman only = read-only true, no exp file)
Eman experience vs BrainLearn (LS2)
![Image](https://i.imgur.com/g4MeqOn.jpg)
Here, Eman Experience trained with a sparring-partner having a different playing style and which can learn
Eman experience vs JudaS / HypnoS (LS4)
![Image](https://i.imgur.com/rBZMviS.jpg)
Here, Eman Experience trained with 2 sparring-partners having different playing styles and which can learn
Eman experience vs JudaS / BrainLearn / HypnoS / Stockfish (LS7)
![Image](https://i.imgur.com/M5IuFqE.jpg)
Here, Eman Experience trained with 4 sparring-partners having diffrent playing styles and which can learn except Stockfish
Eman experience vs BrainLearn / HypnoS / ShashChess / Aurora (LS10)
![Image](https://i.imgur.com/RfNo0Te.jpg)
Here, Eman Experience trained with 4 sparring-partners having diffrent playing styles and which can learn
Here, the average time/move is longer (e.g. 5.1 sec/move) because the TC was 2m+2s (instead of 1m+1s for the 7 first learning sessions)
Common points :
- the average First Novelty is very close to the average moves/game so with only 2000 games, engines can almost learn 100% of some drawish openings
- tons of duplicated games even with different sparring-partners (=different playing styles)