yegorrr

i trained my models from scratch, achieving much smaller loss on validation sets but yea i also found some bugs and the code is messy/confusing.. i was going to rewrite...

> I run 1800 hands against Slumbot and got the following results: > > * Earnings: -15.92 BB/100 > * Baseline Earnings: -24.49 BB/100 > * Num Hands: 1803 >...

> I tried to regenerate the data and re-train the model, for python training/main_train.py 4 the training loss doesn't go below 0.1, the validation loss doesn't go below 0.11 you...

> > > I tried to regenerate the data and re-train the model, for python training/main_train.py 4 the training loss doesn't go below 0.1, the validation loss doesn't go below...

> > besides, original deepstack didnt claim to beat slumbot > > They claimed to have at least approached the Nash equilibrium, which means it should at least not lose...

 this exact algorithm without any changes vs slumbot, although i re-trained river/turn and flop models down to ~0.031 huber loss (that took a lot of calculations). obviously, the sample...