Re: [Bug-gnubg] How fast can you cheat??

[Frank Berger]

> I agree and disagree. The NN never sees the dice - agreed. However  I
> believe an NN is indirectly guided by the dice. If you took the  
> neural net
> trainer and had Gnubg play itself again but this time set up the  
> random
> number source to throw away all the doubles I am pretty sure how the  
> Bot
> learns to play the game over time will change.

Removing doubles would probably have an influence, but for any  
practial purpose even a linear congruent
RNG is good enough so an NN wont learn any pattern


> My opinion though is the Mersenne Twister is cryptographically  
> strong enough
> and has such a massive period that the Bot would likely not be able  
> to see
> anything (the period for standard 32 bit versions of mersenne are  
> 2^219937 ?
> 1).
AFAIK MT is not strong enough for cryptography but these cryptography  
algo are very challenging. For any practical purpose it is good enough.


> If you trained with one random number generator and then play with  
> another
> any thing the NN might have learned as a result doesn't matter. GnuBG
> doesn't continue to learn while it plays humans (or have knwoledge  
> of the
> generator being used during the actual match), so it can't possible  
> garner
> knowledge from random number generators it may  never have seen (or  
> were
> implemented differently).

All this implies that there is an exploitable pattern in the RNG. I  
would bet that an NN trained to predict MT would fail, therefore a net  
that tries to learn BG should learn that?