Reinforcement Learning and Deep RL Python Theory and Projects - Final Structure Implementation - 2

The video tutorial explains the process of calculating Q values using policy and target networks. It covers the steps to compute current and target Q values, the role of gamma and rewards in loss calculation, and the backpropagation process to update the policy network. The tutorial also introduces the Q values class and its functions, which will be further explained in the next video.

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