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 reinforcement learning essential prerequisite review


Deep Reinforcement Learning Essential Prerequisite Review

#artificialintelligence

In this section we are going to review all the background knowledge you need to have in order to understand Deep Reinforcement Learning. This includes: ** Markov Decision Processes (MDPs) ** Dynamic Programming ** Monte Carlo ** Temporal difference learning ** Deep Learning ** Approximation Methods ** State Transition Probabilities Hope to enjoy it!