How Large of A Replay Buffer Do You Need? A Deeper Look at Experience Replay | Paper Analysis & Code

The size of the experience replay buffer is usually taken for granted. In this recent paper by Sutton and Zhang, they take a look at the effects of the size of the replay buffer on the performance of deep Q learning. Better yet, they create a new type of memory called “Combined Experience Replay”. Can we replicate their results? Let’s try in this video.

The paper I’m talking about is here:

The code for this is here:

Learn how to turn deep reinforcement learning papers into code:

Deep Q Learning:

Actor Critic Methods:

Curiosity Driven Deep Reinforcement Learning

Natural Language Processing from First Principles:

Reinforcement Learning Fundamentals

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion:
Grokking Deep Learning:
Grokking Deep Reinforcement Learning:

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