Readme

I am keeping upgrading this, so the code may change everyday.

Environment

windows 10 (We use win32 API to operate the little knight and get screenshots)
python 3.8.8
python liberary: find in requirments.txt
Hollow Knight
HP Bar mod for Hollow Knight (In order to get the boss hp to calculate the reward, please find the mod in ./hollow_knight_Data/, and then copy the mod file to the game folder)
CUDA and cudnn for tensorflow

Now I only write train.py but not test.py (the file is just test some base functions not for model), you can write it by yourself if you get a good model.
I upload a saving file, if you never played this game, please move /save_file/user3.dat into save folder (usually C:\user\_username_\AppData\LocalLow\Team Cherry\Hollow Knight)
Adjust the game resolution to 1920*1017
Run train.py
Keep the game window at the forefront (Since I cannot send keyboard event in the background, I tried PossMassage() in win32 API, but it did not work well. If you have any idea about sending keyboard event in the background, please let me know)
Let the little knight stand in front of the statue of the boss in the godhome
Press F1 to start trainning. (Also you can use F1 to stop trainning)

Most training configuration is in train.py
Agent.py gets output actions from our model
DQN.py is the learning algorithm
Model.py defines the model we use
ReplayMemory.py defines the experience pool for learning
test.py is useless, I use it to test basic functions and fix bugs
Files in ./Tool are for other functions we may use
Actions defines actions for little knight and restart game script
GetHp help us get our hp, boss hp, soul and location(it may have some bugs, you can fix it by yourself)
SendKey is the API we use to send keyboard event to windows system.
UserInput is an useless file, which I used it to train my model manually.
WindowsAPI is used to get screenshot of the game, and key_check() is used to check which key is pressed.
Helper defines [Reward Jugment] fucntion, and other functions we may use

Add deley reward of an action
Make the mdoel output an action sequence
Use two models to output actions. One is for moving and the other is for attack/jump/skill
Apply RESNET
Add LSTM layers
Merge a part of action model and move model
Remvoe LSTM layers
No more Q value, reward is enough, Q value is too complex to learn.
Use kernel32 to read player Hp and hornet Hp.
Use different criteria to evaluate move and actions.
Do not use skill without souls
Use more precise scoring standards