reinforcement learning essential prerequisite review
Deep Reinforcement Learning Essential Prerequisite Review
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!