Added new model

VowpalWabbit/VowpalDataCache/constant_input.txt

@@ -1 +1 @@
-1.0 | F00:0.0 F01:0.0 F02:0.1 F10:0.0 F11:0.0 F12:0.1 F20:0.0 F21:0.1 F30:0.0 F31:0.0 F32:0.1 F40:0.0 F41:0.0 F42:0.1 
+1.0 | F00:0.0 F01:0.1 F02:0.0 F10:0.1 F12:0.0 F20:0.0 F21:0.1 F22:0.0 

VowpalWabbit/VowpalDataCache/constant_output.txt

@@ -1 +1 @@
-2
+1

VowpalWabbit/generate_dataset.py

@@ -35,4 +35,4 @@ def generate_dataset(run_count, clear, model_name, learn):
         wrap_ex("vw --oaa 5 " + filename + ".txt -f " + model_file)
         print("Learning process complete, model saved to " + model_file)
 
-generate_dataset(1000, True, "1k", True)
+generate_dataset(100, True, "100", True)

VowpalWabbit/vowpal_utils.py

@@ -3,7 +3,7 @@ from config import MAP_NAME, GRID_WIDTH, GRID_HEIGHT, GC_X, GC_Y
 from VowpalWabbit.VowpalWrapper import wrapper
 
 #const
-RADIUS = 2
+RADIUS = 1
 ##
 
 COORDINATES_LIST = []
@@ -69,11 +69,8 @@ def generate_input(current_position):
         importance = 1.0
         label = moves_mapping[MOVES_LIST[i]]
         area,importance = get_gc_area(coords, RADIUS)
-        if importance==None:
-            if MOVES_LIST[i] == "up" or MOVES_LIST[i] == "down":
-                importance = 2.0
-            else:
-                importance = 1.0
+        if importance == None:
+            importance = 1.0
         if MOVES_LIST[i] == "pick_garbage":
             importance = 5.0
         input_line = str(label) + " " + str(importance) + " | "
@@ -140,7 +137,7 @@ def check_position(position, i):
 def get_predicted_move(position):
     input_filename = pass_input(position)
     output_filename = "./VowpalWabbit/VowpalDataCache/constant_output.txt"
-    command = "vw --oaa 5 -i ./VowpalWabbit/VowpalModels/1k.model -t "+input_filename+" -p "+output_filename
+    command = "vw --oaa 5 -i ./VowpalWabbit/VowpalModels/100.model -t "+input_filename+" -p "+output_filename
     print(command)
     wrapper.wrap_ex(command)
     with open( output_filename, 'r' ) as fout: