Øystein Schønning-Johansen wrote:
What about other techniques? [...] Simplified evaluation function
combined with deeper search?
I don't think this is very promising. With 21 rolls at each ply and very
few forced moves, deeper search is very expensive.
Moreover, gnubg uses very radical
Hi Robert!
I would love to see more development on the engine and the neural nets.
There are plenty of questions that could be asked when it comes to neural
net topology and training methods. However, from my point of view based on
my experience, I think the quality of a neural net evaluation
I scrolled back through the archives and it seems like it has been a
while since gnubg got smarter.
I have always suspected that the only thing holding gnubg back was an
obscene amount of compute.
A large single model should be able to outperform a bunch of essentially
disconnected specialized
