Double DQN with TensorFlow 2 and TF-Agents

Double DQN with TensorFlow 2 and TF-Agents

In the previous articles, we covered major reinforcement learning topics. They paved a path to this article which combines those topics under a single umbrella. As a reminder, we talked a lot about the main reinforcement learning elements and how deep learning is used...
Ultimate Guide to Deep Q-Learning with TF-Agents

Ultimate Guide to Deep Q-Learning with TF-Agents

A while back we wrote a couple texts about Reinforcement Learning. We explored how it is different from supervised and unsupervised learning and what kind of problem it is trying to solve. Also we found out what is Q-Learning, one way to actually do reinforcement...
Deep Convolutional Q-Learning with Python and TensorFlow 2.0

Deep Convolutional Q-Learning with Python and TensorFlow 2.0

So far in our journey through the world of reinforcement learning we covered several topics. First we kicked it off with introduction to reinforcement learning and we saw how this paradigm functions. Then we learned the simplest from of it – Q-Learning. Finally,...
Deep Q-Learning with Python and TensorFlow 2.0

Deep Q-Learning with Python and TensorFlow 2.0

In the previous two articles we started exploring the interesting universe of reinforcement learning. First we went through the basics of third paradigm within machine learning – reinforcement learning. Just to freshen up our memory, we saw that approach of this...