Open 4e4ako opened 2 years ago
Hi! I think recurrent networks are legacy-type and never worked correctly, as they gave quite poor results on initial testing, so simply don't use them.
And this is clearly not a package dependencies problem - I guess, the reason is bugs in code - my local version is some commits ahead, and probably this is fixed there. But the problem is that I gave up on python around a year ago and rewritten it from scratch on C++ which is a whole different project. Therefore, I don't have any incentive to go back and check what's actually wrong or fix it, sorry, but you have to do it yourself :)
Hi Vsevolod!
I've tried to launch PLO_training_start.py with enabled LBR and failed (without any eval_methods iterations are running fine, but I can't evaluate results). I've tried both PLO and DiscretizedNLHoldem, with Debugging option turned on and off. When DEBUGGING=True, and nn_type "feedforward" or "dense_residual", I've got AssertionError:
And if DEBUGGING=False I've got this error on iteration 1:
If nn_type="recurrent", I've got error on iteration 0:
My requirements.txt: