From 5c22ac4f841d993a15ec3460a2945e328ee7f726 Mon Sep 17 00:00:00 2001
From: Florian Jung <flo@windfisch.org>
Date: Wed, 6 Jan 2016 17:13:23 +0100
Subject: episode no-op

---
 sol.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/sol.py b/sol.py
index 20e9fa9..0dac104 100644
--- a/sol.py
+++ b/sol.py
@@ -212,14 +212,18 @@ class QArray:
     def __init__(self):
         self.Q = [ [ [0. for k in range(4)] for i in range(a.xlen) ] for j in range(a.ylen) ]
 
+    # calculates Q(x,y)
     def eval(self,x,y = None):
         if y==None: x,y = x
 
         return self.Q[y][x]
     
+
     def change(self, s, action, diff):
         self.Q[s[1]][s[0]][action] += diff
 
+    def episode(self):
+        pass
 
 # implements the Q function not through an array, but through a neuronal network instead.
 class QNN:
@@ -250,6 +254,9 @@ class QNN:
 
         self.NN.train(list(s), [x/10. for x in newval])
 
+    def episode(self):
+        pass
+
 a = World(maze, start)
 
 Q = None
@@ -283,6 +290,7 @@ for i in range(1000000):
         s = ss
         if a.is_final(ss):
             break
+    Q.episode()
 
     if (i % (frameskip+1) == 0):
         print("iteration %.3d, alpha=%.3e, epsilon=%.3e maxdiff=%.7f"%(i,alpha,epsilon,maxdiff))
-- 
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