Recent content by betairya

I've done the embedding and it works now. Actually my previous version has a serious bug (well it is a feature ]=) so things just gonna start from the very beginning. I believe embedding made the network better from random guess. (I have updated my post at #1)

Actually I am still confusing on embedding. I think it's difficult to convert pokemon name to one-hot vectors, they are just so big (in dimensions). Although it might be okay to do so, it sounds so bad. Imagine a 800-d one-hot vector. It's not necessary to take every pokemon in to that count...

Basically saying, to predict simple motion dynamics among particles. So particles here is permutation-invariant. I'll try embedding this week xD

Thanks a lot for those information. Actually I have already read that paper before ( but after I post this thread ) and many paper about permuation-invariant & equivalent networks ( That was also related to my research in my collage lol ), so I was going to make something like sum or maxpool or...

Thxxx

Basically ... Online tutorials, materials, and papers. Also some textbooks like The DeepLearning Book, although I only read the first 8 chapters now lol

Is he or she named Marty ? Could you post something like userid or username or something to search with ? Thanks very much xD

Yeah, I think the net does think "lopunny" as "mega-lopunny". However, this net was trained regard to a specific tier ( to say, OU ), so I think if it was trained on PU or sth then it will see lopunny as normal lopunny. Well mega and non-megas should be considered though xD I still don't have a...

lol if you want we can do it together xD Yes, there must be something that is not publicly available, and the replay data only contains a limited subset of actual team data. Calculate EVs from replay data sounds ... like a horrible amount of work. Pokemon moves might be okay but abilities (...

That is an amazing tool. I'm wondering can I use it as some kind of REST API? ( well I will ask the author in that thread lol ) thxxx

I'm using datasets all based on showdown replays, regardless of player elo. In order to get which pokemon is going to be mega-evolved, or which pokemon is going to be selected in the battle ( for vgc format etc ), the replay log needs to be analyzed in detail. That's kinda tricky and need time...

Thanks! This net just does the things as you said. a) I used a sort of hybrid model, contains some RNNs to make with the raw string input, followed with some MLPs on different hierarchies, such as pokemon-level, team-level & battle-level. b) I have no idea with that. Currently, since I got the...

Currently it is in progress. (edit Jan.19th 2019) Until now ( Jan. 19th 2019 ), It can only run on python + tensorflow, with few functions and limitations. I'm going to make a standalone executable or something, but I don't know when will it be done. This thread might be updated anytime xD BAD...