Nostrademous
Nostrademous
Do you think the data mined could be used to train a ML system to make recommendations on the order of ability leveling that should happen in a match given...
For AttackGym - we need to be able to send repeated BattleAction objects/classes. Currently rpc_api.py only handles "repeated" base-types (i.e., ints, longs, strings) by accepting a "list" and iterating over...
This will allow lists/dictionaries of nested types. I tested it with gym attacking and it fixed my problems.
Botting
I cloned a while ago from @tejado and have been working on implementing features... Got to say things are going well and I'm willing to answer questions people have, but...
Why Dict?
Am I the only one who finds writing code dealing with a dictionary way more non-intuitive than if you were returning the ResponseEnvelop directly? Driving me nuts...
For testing only... guess work involved.
Avert thy eyes..... TODOs: - [x] Fix hardcode league name to different stored location (probably best as part of the league selection drop down) - [x] Make Weighted Sum searches...
DPS Sorted Recommendation. TODO: - [ ] Fix items being added to Socket Slot after socket created - [ ] Test multiple socket groups (unlinked sockets) all in same item.
Getting the following errors from a fresh git clone following README instructions: SIDE NOTE: I'm installing this on an Ubuntu OS using Windows Subsystem for Linux ``` (env) nostrademous@DESKTOP-J9431IB:~/ML/deep-neuroevolution/gpu_implementation/gym_tensorflow$ make...