Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.0"
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README.md
a2c.py update code for latest tf2 build (no more polymorphic CE) Jan 29, 2019
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README.md

Deep Reinforcement Learning with TensorFlow 2.0

This repository contains source code accompaying the blog post Deep Reinforcement Learning with TensorFlow 2.0.

In the blog post I showcase the upcoming TensorFlow 2.0 features through the lense of deep reinforcement learning by implementing an advantage actor-critic agent, solving classic CartPole-v0 environment. While the goal is to showcase TensorFlow 2.0, I also provide a brief overview of the DRL methods.

You can view the code either as a notebook, a self-contained script, or execute it online on Google Colab.