Humans have always tried to predict the future. Forecasting has been, therefore, one of the most studied techniques over time. Forecasts cover several fields: weather forecasts, economic and political events, sports results, and more. Because we try to predict so many different events, there are a variety of ways in which predictions can be developed. Monte Carlo methods for estimating the value function and discovering excellent policies do not require the presence of a model of the environment. They are able to learn through the use of an agent's experience alone or from samples of state sequences, actions, and rewards obtained from the interactions between agent and environment. The experience can be acquired by the agent in line with the learning process, or it can be emulated by a previously populated dataset. Stock prices change on a...
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