I don't want to sound harsh, but if we lost all GUI support then GNUbg is no more alive than XG.
-Joseph On Sat, 5 Aug 2023 at 02:07, Øystein Schønning-Johansen <[email protected]> wrote: > Yes! > > We could actually train neural networks with different characteristics. > > Let's say we do one loop through the training dataset, and for each > position we add a little notch to the winning probabilities for all > positions that have an opponent checker on the bar (and maybe even a bigger > notch if there's two or more checkers on the bar). Then we do supervised > training with this modified trainset. This will hopefully create a more > aggressive player that will be more eager to hit loose on checkers, and > hopefully create a player with an attacking style. > > Then - Let's say we do one loop through the training dataset, and for each > position we subtract a little notch to the winning probabilities for all > positions that have a blot that can be hit (and maybe even a bigger notch > if there's several of it's blot that can be hit). Then we do supervised > training with this modified trainset. This will hopefully create a more > careful player that will rather create high stacks than playing flexible. > Typically seen by beginner players. 4-1 opening roll is then played 13/8, > they seldom split backcheckers etc. > > Of course I have no idea if this will work or not. But I think I will be > able to do something like this. (But not now as I'm leaving for vacation > tomorrow morning) > > We probably need some interface that can read custom neural networks. I > have lost the touch when it comes to GTK coding, but someone may be able to > specify. > > -Øystein > > > > fre. 4. aug. 2023 kl. 15:39 skrev Superfly Jon <[email protected]>: > >> Different nets sound like a good addition for people who want to play >> against the computer. This could be combined with an old idea of having a >> list of opponents with different characteristics (e.g. more / less >> aggressive) where the move equities are adjusted based e.g. on the number >> of blots, leading to weaker play with different styles. Maybe the >> different neural nets already do this to some degree? >> >> Unfortunately I haven't the time to commit to this currently, but maybe >> others might and I may have more time in the future. >> >> Jon >> >> On Tue, 1 Aug 2023 at 06:52, Joseph Heled <[email protected]> wrote: >> >>> >>> Hi, >>> >>> As part of my recent research (Elo systems and PR) I generate a number >>> of neural nets, ranging from 500 Elo to about 1800. >>> >>> I thought it might be a nice feature to have for beginners, to play a >>> weaker, less frustrating, computer opponent. Might also be useful for >>> stronger players - practicing playing against weaker players. >>> >>> I am willing to adapt the nets to GNUbg. If anyone wants to collaborate >>> with me on the rest, i.e. user interface and glue to the rest of the >>> system, please contact me and we can discuss feasibility. >>> >>> -Joseph >>> >>
