Reinforcement Learning, Data Science, Python, Machine Learning, Computer Science.
highest return. The random_beta takes the value of: random.betavariate(numbers_of_rewards_1[i] + 1, numbers_of_rewards_0[i] + 1) This is done for each iteration of index i in the range d, using random draws. That allows us to pick any number of N rounds rather than go through the sequence of of