Solving the Basic Game of Pong

Building an AI to beat pong using just the pixels of the screen as input with no hard-coded rules? Yes, its possible. We'll solve this using an approach called "Policy Gradients" which is even more popular than Q-learning. I'll show you how its done using a mix of animations, code, and theory. Let's beat pong!

Code (and challenge) for this week:
https://github.com/llSourcell/policy_gradients_pong

Alex's Winning code:
https://github.com/msoedov/q-learner

Aditya's Runner up code:
https://github.com/avp1598/q_learning

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More learning resources:
http://karpathy.github.io/2016/05/31/rl/
https://medium.com/@awjuliani/super-simple-reinforcement-learning-tutorial-part-2-ded33892c724
http://minpy.readthedocs.io/en/latest/tutorial/rl_policy_gradient_tutorial/rl_policy_gradient.html
http://pemami4911.github.io/blog/2016/08/21/ddpg-rl.html
http://kvfrans.com/simple-algoritms-for-solving-cartpole/
https://theneuralperspective.com/2016/11/25/reinforcement-learning-rl-policy-gradients-i/

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Видео Solving the Basic Game of Pong канала Siraj Raval