def __init__(self):
self.agent = Agent({True}, lrn_rate=.1, dsc_rate=.5, min_likelihood=1.)
self.start_pos = 0
self.text = "peter piper picked a peck of pickled peppers a peck of pickled peppers peter piper picked if peter piper picked a peck of pickled peppers wheres the peck of pickled peppers peter piper picked "
self.agent_pos = self.start_pos
self.length = len(self.text)
self.this_sensor = self.__get_sensors__()
self.intended_action = None
class Labyrinth(object):
def __init__(self):
self.agent = Agent({True}, lrn_rate=.1, dsc_rate=.5, min_likelihood=1.)
self.start_pos = 0
self.text = "peter piper picked a peck of pickled peppers a peck of pickled peppers peter piper picked if peter piper picked a peck of pickled peppers wheres the peck of pickled peppers peter piper picked "
self.agent_pos = self.start_pos
self.length = len(self.text)
self.this_sensor = self.__get_sensors__()
self.intended_action = None
def __get_sensors__(self):
return self.text[self.agent_pos]
def tick(self):
if self.intended_action:
self.agent_pos = (self.agent_pos + 1) % self.length
else:
self.agent_pos = (self.agent_pos - 1) % self.length
self.this_sensor = self.__get_sensors__()
self.intended_action = self.agent.get_motor(self.this_sensor, 0)
def __init__(self):
self.agent = Agent({'n', 'e', 's', 'w'}, lrn_rate=.1, dsc_rate=.5, min_likelihood=1.)
self.start_pos = (0, 1)
self.grid_map = [['x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x'],
['.', '.', '.', '.', 'x', '.', 'x', '.', '.', '.', 'x'],
['x', 'x', 'x', '.', 'x', '.', 'x', '.', 'x', '.', 'x'],
['x', '.', '.', '.', 'x', '.', '.', '.', 'x', '.', 'x'],
['x', '.', 'x', 'x', 'x', '.', 'x', '.', 'x', '.', 'x'],
['x', '.', '.', '.', '.', '.', 'x', '.', 'x', '.', 'x'],
['x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '.', 'x'],
['x', '.', '.', '.', '.', '.', '.', '.', '.', '.', 'x'],
['x', '.', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x'],
['x', '.', '.', '.', '.', '.', '.', '.', '.', '.', 'g'],
['x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x']]
self.agent_pos = self.start_pos
self.height = len(self.grid_map)
self.width = len(self.grid_map[0])
self.this_reward = 0
self.this_sensor = self.__get_sensors__()
self.intended_action = None
class Labyrinth(object):
def __init__(self):
self.agent = Agent({'n', 'e', 's', 'w'}, lrn_rate=.1, dsc_rate=.5, min_likelihood=1.)
self.start_pos = (0, 1)
self.grid_map = [['x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x'],
['.', '.', '.', '.', 'x', '.', 'x', '.', '.', '.', 'x'],
['x', 'x', 'x', '.', 'x', '.', 'x', '.', 'x', '.', 'x'],
['x', '.', '.', '.', 'x', '.', '.', '.', 'x', '.', 'x'],
['x', '.', 'x', 'x', 'x', '.', 'x', '.', 'x', '.', 'x'],
['x', '.', '.', '.', '.', '.', 'x', '.', 'x', '.', 'x'],
['x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', '.', 'x'],
['x', '.', '.', '.', '.', '.', '.', '.', '.', '.', 'x'],
['x', '.', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x'],
['x', '.', '.', '.', '.', '.', '.', '.', '.', '.', 'g'],
['x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x', 'x']]
self.agent_pos = self.start_pos
self.height = len(self.grid_map)
self.width = len(self.grid_map[0])
self.this_reward = 0
self.this_sensor = self.__get_sensors__()
self.intended_action = None
def __str__(self):
full_str_lst = ["\t " + " ".join([str(x) for x in range(self.width)])]
for y in range(len(self.grid_map)):
each_line = self.grid_map[y]
line_lst = [str(y) + "\t"]
for x in range(len(each_line)):
if (x, y) == self.agent_pos:
line_lst.append("#")
else:
line_lst.append(str(each_line[x]))
full_str_lst.append(" ".join(line_lst))
full_str_lst.append("\n")
full_str_lst.append("\t".join(["perception:", str(self.this_sensor)]))
full_str_lst.append("\t".join(["intention:", str(self.intended_action)]))
full_str_lst.append("\t\t".join(["reward:", str(self.this_reward)]))
full_str_lst.append("\t".join(["iteration:", str(self.agent.iteration)]))
full_str_lst.append("\n")
return "\n".join(full_str_lst)
def __get_sensors__(self):
agent_x, agent_y = self.agent_pos
n = not self.grid_map[(agent_y-1) % self.height][agent_x] == 'x'
e = not self.grid_map[agent_y][(agent_x+1) % self.width] == 'x'
s = not self.grid_map[(agent_y+1) % self.height][agent_x] == 'x'
w = not self.grid_map[agent_y][(agent_x-1) % self.width] == 'x'
return n, e, s, w
def _get_sensors__(self):
return self.agent_pos
def tick(self):
agent_x, agent_y = self.agent_pos
self.agent.populate_heat_maps(agent_y, agent_x)
if self.intended_action == "n":
agent_y = (agent_y - 1) % (self.height - 1)
elif self.intended_action == "e":
agent_x = (agent_x + 1) % (self.width - 1)
elif self.intended_action == "s":
agent_y = (agent_y + 1) % (self.height - 1)
elif self.intended_action == "w":
agent_x = (agent_x - 1) % (self.width - 1)
target_cell = self.grid_map[agent_y][agent_x]
last_x = self.agent_pos[0]
self.this_reward = 0
if target_cell == "x":
self.this_reward = -5
elif target_cell == "g":
self.this_reward = 10
self.agent_pos = self.start_pos
elif target_cell == "d":
self.this_reward = -10
self.agent_pos = self.start_pos
else:
this_x = self.agent_pos[0]
#self.this_reward = (this_x - (last_x + 1)) % -(self.width-1)
self.this_reward = 0
self.agent_pos = (agent_x, agent_y)
self.this_sensor = self.__get_sensors__()
self.intended_action = self.agent.get_motor(self.this_sensor, self.this_reward)
