Persistent self-learning

[francescobianco]

Hi

I want deploy a dockerized cluster with ChessAlphaZero as a service. My question is: It is possibile create a persistent self- learning process to achieve a continuous skill improovement? Make sense? It is possibile share best model to different running instances? It is possibile distribute a packed version of best model? It is possible use iteractive play during self-learning?

Thanks for all... and for your work!!!

[francescobianco]

@Akababa @Zeta36 #17 WORST NUMBER!!

[Zeta36]

What's up, @francescobianco ??

[francescobianco]

I'm so sorry, I expected an answer to the question, I saw that the other questions are very active, and I thought I was unlucky for the number 17 @Zeta36 @Akababa (follow recap)

• Is it possible to create a persistent self-learning process to achieve a continuous skill improvement?
• Make sense?
• Is it possible share best model to different running instances?
• Is it possible distribute a packed version of the best model?
• Is it possible use interactive play during self-learning? Or create unexpected behaviour?

Thanks for your work and patients...