wojciechmo / rl-grid-world Goto Github PK

Hello - I am new to Python and q-learning. First - thank you for sharing your work - this is a great easy little environment to play with.

A simple question - the simulation continues forever without stopping. Is there a way to make it somehow KNOW when it reaches its stable solution, or, limit the runs to a number, like 1000?

Also - I am wondering if it is possible to display the q-values for each cell (4 values per cell) during and after the final run?

I realize I am asking a lot, but I figured I would ask!

cv2.putText(self.frame, text, (int((x+0.5)*self.scale)-w/2, int((y+0.5)*self.scale+h/2)), font, 1, color, 2, cv2.LINE_AA)
Change to：
cv2.putText(self.frame, text, (int((x+0.5)*self.scale-w/2), int((y+0.5)*self.scale+h/2)), font, 1, color, 2, cv2.LINE_AA)