The third video of Deep Reinforcement Learning course with Tensorflow is out 🎉
The video 📹 : https://www.youtube.com/watch?v=wLTQRuizVyE
The Policy Gradient article 📜 : https://medium.freecodecamp.org/an-introduction-to-policy-gradients-with-cartpole-and-doom-495b5ef2207f
The Implementation notebook 🤖 : 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 📹: 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! 😃