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# https://github.com/suragnair/alpha-zero-general/blob/5156c7fd1d2f3e5fefe732a4b2e0ffc5b272f819/MCTS.py#L105-L121
cur_best = -float('inf')
best_act = -1

# pick the action with the highest upper confidence bound
for a in range(self.game.getActionSize()):
    if valids[a]:
        if (s, a) in self.Qsa:
            u = self.Qsa[(s, a)] + self.args.cpuct * self.Ps[s][a] * math.sqrt(self.Ns[s]) / (
                    1 + self.Nsa[(s, a)])

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# https://github.com/suragnair/alpha-zero-general/blob/5156c7fd1d2f3e5fefe732a4b2e0ffc5b272f819/MCTS.py#L37-L48

for i in range(self.args.numMCTSSims):  # self.args.numMCTSSims, the number of MCTS simulations to compute
    self.search(canonicalBoard)  # "search" is a MCTS simulations

s = self.game.stringRepresentation(canonicalBoard)
# Count how many times we have visited each node
counts = [self.Nsa[(s, a)] if (s, a) in self.Nsa else 0 for a in range(self.game.getActionSize())]

if temp == 0:

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license: gpl-3.0

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The Project Gutenberg EBook of The Republic, by Plato

This eBook is for the use of anyone anywhere at no cost and with
almost no restrictions whatsoever.  You may copy it, give it away or
re-use it under the terms of the Project Gutenberg License included
with this eBook or online at www.gutenberg.org


Title: The Republic

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__________________________________________________________________________________________________
Layer (type)                    Output Shape         Param #     Connected to                     
==================================================================================================
input_1 (InputLayer)            (None, None, None, 3 0                                            
__________________________________________________________________________________________________
conv2d_1 (Conv2D)               (None, None, None, 3 864         input_1[0][0]                    
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, None, None, 3 96          conv2d_1[0][0]                   
__________________________________________________________________________________________________
activation_1 (Activation)       (None, None, None, 3 0           batch_normalization_1[0][0]      

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from selenium import webdriver
from BeautifulSoup import BeautifulSoup
import requests

options = webdriver.ChromeOptions()
options.add_argument('headless')
driver = webdriver.Chrome(chrome_options=options)
driver.set_window_size(1280, 1600)

filename = 'NOTICE.html'