Reinforced AI

.gitignore

@@ -1 +1,3 @@
 *.pyc
+*.json
+.vscode

README.md

@@ -3,12 +3,39 @@ FlappyBirdLike and AI
 
 Base on this flappy bird like using pygame[1]: https://github.com/sourabhv/FlapPyBird
 Follow his instruction to be able to run the game.
+You need `numpy` and `pygame` to be able to launch flappy.py. (they are both instalable with `pip`)
 
 Why
 ---
 
 This is a simple flappybird without any images or welcome screen or what ever. This is made to be able to use AI on it.
 
+I have used a custom and simple neural network. And based the flappy bird on a reinforcement method.
+
+
+How
+---
+
+command : 
+`python flappy.py <train | notrain> <filename>`
+    `<train | notrain>` specify if you want to launch the game in training mode or not.
+    `<filename>`specify the json file where you want to save the best player training brain.
+
+example : 
+`python flappy.py train goodplayer.json` will use the goodplayer.json (or create it if it doesn't exist) to populate players based on the same brain and train this population to provide a better brain. This new brain will be stocked in the same file.
+
+`python flappy.py notrain goodplayer.json` will use the goodplayer.json (or create it if it doesn't exist) to create a player with the same brain and just play.
+
+Tips :
+
+You can speeding up or slowing down the game by using the arrow key : 
+- key up : speed up
+- key down : slow down
+
+By a simple mouse click, you can save your actual runner.
+
+Enjoy
+
 ScreenShot
 ----------
 

const.py

@@ -0,0 +1,13 @@
+FPS = 30
+SCREENWIDTH  = 512
+SCREENHEIGHT = 512
+# amount by which base can maximum shift to left
+PIPEGAPSIZE  = 90 # gap between upper and lower part of pipe
+PIPEHEIGHT   = 320
+PIPEWIDTH    = 50
+BASEY        = SCREENHEIGHT * 0.79 # ground is 21% of the total height
+BASEX        = 0
+PIPEVELX     = -4
+VELYMAX     = -18
+
+MAX_POPULATION = 350