Replay Memory Explained - Experience for Deep Q-Network Training

Welcome back to this series on reinforcement learning! In this video, we'll continue our discussion of deep Q-networks. Before we can move on to discussing exactly how a DQN is trained, we're first going to explain the concepts of experience replay and replay memory, which are utilized during the training process. So, let's get to it!

Sources:
Reinforcement Learning: An Introduction, Second Edition by Richard S. Sutton and Andrew G. Bartow
http://incompleteideas.net/book/RLbook2020.pdf

Playing Atari with Deep Reinforcement Learning by Deep Mind Technologies
https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf

Jürgen Schmidhuber interview: https://youtu.be/zK_x3Ba2l5Q

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