dataset = read.csv('Ads_CTR_Optimisation.csv')
N = 10000
d = 10
ads_selected = integer(0)
total_reward = 0
for (n in 1:N) {
ad = sample(1:10, 1)
ads_selected = append(ads_selected, ad)
reward = dataset[n, ad]
total_reward = total_reward + reward
}
hist(ads_selected,
col = 'blue',
main = 'Histogram of ads selections',
xlab = 'Ads',
ylab = 'Number of times each ad was selected')