Reinforcement Learning From Scratch in Pure Python
About a year ago I made a Reinforcement Learning From Scratch lecture series and shared it here. It got a great response so I’m posting it again.
It covers everything from bandits and Q Learning to DQN REINFORCE and A2C. All implemented from scratch to show how the algorithms actually work.
Repo
https://github.com/norhum/reinforcement-learning-from-scratch
Feedback is always welcomed!
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