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If you're not sure what to do during the long weekend, try to implement A2C (advantage actor-critic) in TensorFlow 2.0 with this very solid tutorial:http://inoryy.com/post/tensorflow2-deep-reinforcement-learning/ …
Also check out this take on A3C (asynchronous advantage actor-critic) -- it was written for TF 1.0 + eager, but it's still perfectly valid in the world of TF 2.0:https://medium.com/tensorflow/deep-reinforcement-learning-playing-cartpole-through-asynchronous-advantage-actor-critic-a3c-7eab2eea5296 …
Very timely for my pet project 
@random_forests @DynamicWebPaige is it possible to list these examples as part of @TensorFlow 2.0 docs tutorial page (external links). There are other good tutorials from @aureliengeron and MIT course exercise etc.
+1. A markdown file of solid, community-created TF 2.0 tutorials - with the expectation that those tutorials would be maintained by their original authors, not the @TensorFlow team - would be a good add, I think. 
@martin_wicke, @billylamberta
May I selfishly add my own blog post on A3C here? (no intent to spam here - just curious about what you think) https://www.endpoint.com/blog/2018/08/29/self-driving-toy-car-using-the-a3c-algorithm …
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