def crossroads_map():
cross={} #dictionary of crossroads
for xx in x:
for yy in y:
lab=str(xx)+str(yy)
cross_=crossing(car_nums=np.array([0,0,0,0]),light_state=0,q_states=q_states[xx][yy])
cross[lab]=cross_
return cross
def crossroads_map(x,y):
cross={} #dictionary of crossroads
for xx in x:
for yy in y:
lab=str(xx)+str(yy) #string lab for addressing each crossroad, xx ~ [1,grid_x]
#Initialization
cross_=crossing(car_nums=np.array([0,0,0,0]),light_state=0,q_states=q_states[xx][yy])
cross[lab]=cross_
return cross
def road_map():
cross1=crossing(light_state=0,q_states=[0,0,0,1])
cross2=crossing(light_state=0,q_states=[0,0,1,0])
# def hit_me():
# global on_hit
# global next_step
# if on_hit == False:
# on_hit = True
# next_step=0
# else:
# on_hit = False
# next_step=1
# b = tk.Button(window, text='Next Step', width=15,
# height=2, command=hit_me)
# b.pack()
visual=Visual()
cross1=crossing(light_state=0,q_states=[0,0,0,1])
cross2=crossing(light_state=0,q_states=[0,0,1,0])
obs=np.concatenate((cross1.car_nums, cross1.light_state, cross2.car_nums, cross2.light_state),axis=None)
for steps in range(200000):
visual.visual_before(cross1, cross2)
action=RL.choose_action(obs)
if action == 0:
action1 =0
action2 =0
elif action ==1:
action1 =1
action2 =0
elif action ==2:
action1 =0