Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
possible actions to determine which of them results in bigger rewards. That is why it is necessary to strive for the right balance between exploitation and exploration. Speaking of Monte Carlo methods, there exist several approaches, one of which will be described below. Example Imagine an agent