Hey there!

The third video of Deep Reinforcement Learning course with is out πŸŽ‰

In this video we’ll implement a Policy Gradient agent with Tensorflow that learns to play Deathmatch πŸ‘ΉπŸ”«

The video πŸ“Ή : https://www.youtube.com/watch?v=wLTQRuizVyE

The Policy Gradient πŸ“œ : https://medium.freecodecamp.org/an-introduction-to-policy-gradients-with-cartpole-and-doom-495b5ef2207f

The Implementation notebook πŸ€– : https://github.com/simoninithomas/Deep_reinforcement_learning_Course/blob/master/Policy%20Gradients/Doom%20Deathmatch/Doom-deathmatch%20REINFORCE%20Monte%20Carlo%20Policy%20gradients.ipynb

For my others videos about deep reinforcement learning, the playlist πŸ“Ή: https://www.youtube.com/watch?v=q2ZOEFAaaI0&list=PLQLZ37V8CnUTdIoJJdvmmFoQJntZ9dp5Q

The Syllabus of the course: https://simoninithomas.github.io/Deep_reinforcement_learning_Course/

Again let me say what you think about the course (articles and videos) and how it should be improved!

Thanks for your help! πŸ˜ƒ

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