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visuals.py
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visuals.py
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import numpy as np
import matplotlib
matplotlib.use('TKAgg')
from matplotlib import pyplot as plt
import seaborn as sns
class Visuals:
def __init__(self, actions):
all_action_names = ['no-op', 'fire', 'up', 'right', 'left', 'down', 'up_right', 'up_left', 'down-right', 'down-left',
'up-fire', 'right-fire', 'left-fire', 'down-fire', 'up-right-fire', 'up-left-fire', 'down-right-fire', 'down-left-fire']
action_names = [all_action_names[i] for i in actions]
self.num_actions = len(actions)
self.max_q = 1
self.min_q = 0
# self.max_avg_q = 1
xlocations = np.linspace(0.5, self.num_actions - 0.5, num=self.num_actions)
xlocations = np.append(xlocations, self.num_actions + 0.05)
if self.num_actions > 7:
self.fig = plt.figure(figsize=(self.num_actions * 1.1, 6.0))
else:
self.fig = plt.figure()
self.bars = plt.bar(np.arange(self.num_actions), np.zeros(self.num_actions), 0.9)
plt.xticks(xlocations, action_names + [''])
plt.ylabel('Expected Future Reward')
plt.xlabel('Action')
plt.title("State-Action Values")
color_palette = sns.color_palette(n_colors=self.num_actions)
for bar, color in zip(self.bars, color_palette):
bar.set_color(color)
self.fig.show()
def update(self, q_values):
for bar, q_value in zip(self.bars, q_values):
bar.set_height(q_value)
step_max = np.amax(q_values)
step_min = np.amin(q_values)
if step_max > self.max_q:
self.max_q = step_max
plt.gca().set_ylim([self.min_q, self.max_q])
if step_min < self.min_q:
self.min_q = step_min
plt.gca().set_ylim([self.min_q, self.max_q])
self.fig.canvas.draw()