matplot的使用之四:细节设置(2/2)
matplot的使用之四:细节设置(1/2)
import pandas as pd
import matplotlib.pyplot as plt
matplot的使用之三:直方图、盒形图
import pandas as pd
import matplotlib.pyplot as plt
matplot的使用之二:柱状图、散点图
import pandas as pd
reviews = pd.read_csv('fandango_scores.csv')
cols = ['FILM', 'RT_user_norm', 'Metacritic_user_nom', 'IMDB_norm', 'Fandango_Ratingvalue', 'Fandango_Stars']
norm_reviews = reviews[cols]
print(norm_reviews[:1])
matplot的使用之一:折线图、子图
import pandas as pd
unrate = pd.read_csv('UNRATE.csv')
unrate['DATE'] = pd.to_datetime(unrate['DATE'])
print(unrate.head(12))
chp2
• An agent is something that perceives and acts in an environment. The agent function for an agent specifies the action taken by the agent in response to any percept sequence. • The performance measure evaluates the behavior of the agent in an environment. A rational agent acts so as to maximize the expected value of the performance measure, given the percept sequence it has seen so far. • A task environment specification includes the performance measure, the external en- vironment, the actuators, and the sensors.
Roadmap $G=(V,E)$ 是一个有向图
$\Gamma : R \rightarrow V $ ，汽车初始的位置
$\Phi : R \rightarrow V $，汽车终止位置
对于每个车$path_i (c) : Z \rightarrow E $，每个车的路线。
问题是：
对于每个车$c_i (i=1,…,n)$，找到可行的路线 $P={p_1,…,p_n}$
**避免任意两条路线出现: 死锁。****目标： 最小化系统调度时间，即每辆车到达终点的累计总用时。**
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