Lucas Vazquez lgvaz
lgvaz
/ authorized_keys
Last active
April 27, 2020 18:45
lgvaz
/ covid19_graphs.ipynb
Created
April 3, 2020 16:58
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lgvaz
/ kaiming_init_var.ipynb
Created
November 3, 2019 20:06
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lgvaz
/ traveling_genetic.ipynb
Created
October 30, 2018 21:43
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lgvaz
/ linear_reg.ipynb
Created
October 15, 2018 22:49
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lgvaz
/ project1.ipynb
Last active
October 1, 2018 19:37
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lgvaz
/ graph.ipynb
Created
September 7, 2018 22:08
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lgvaz
/ cluster_data_point.py
Created
August 27, 2018 03:41
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| import numpy as np | |
| import matplotlib.pyplot as plt | |
| # Ordem das cores, definida pelo professor | |
| COLORS = ["blue", "green", "red", "magenta", "cyan", "yellow", "black"] | |
| # Lê os dados, "with" abre o documento e o fecha automaticamente após sair da indentação | |
| with open("points.dat") as f: | |
| data_raw = f.read().splitlines() |
lgvaz
/ conference.ipynb
Created
July 11, 2018 18:43
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lgvaz
/ e_greedy_policy.py
Last active
December 26, 2017 18:50
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| def egreedy_policy(q_values, state, epsilon=0.1): | |
| # Get a random number from a uniform distribution between 0 and 1, | |
| # if the number is lower than epsilon choose a random action | |
| if np.random.random() < epsilon: | |
| return np.random.choice(4) | |
| # Else choose the action with the highest value | |
| else: | |
| return np.argmax(q_values[state]) |
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