Why Deep Q Learning Needs A Target Network and Replay Memory | Course Excerpt For Cyber Monday

The two biggest innovations in deep Q learning were the introduction of the target network and the replay memory. One would think that simply bolting a deep neural network to the Q learning algorithm would be enough for a robust deep Q learning agent, but that isn't the case. In this video I'll show you how this naive implementation of the deep q learning agent fails, and spectacularly at that.

#DeepQLearning #PyTorch #ReinforcementLearning

This is an excerpt from my new course, Deep Q Learning From Paper to Code which you can get on sale with this link




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