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
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,...
Introduction to Q-Learning with Python and Open AI Gym
The code that accompanies this article can be downloaded here. In the previous article, we got familiar with reinforcement learning and the problem it is trying to solve. Reinforcement learning is the third paradigm or third type of learning in the universe of...
Introduction to Reinforcement Learning
Edward observed his cats as they tried to escape from home-made puzzle boxes. Puzzles were simple, all cats had to do was pull some string or push a poll and they were out. When first encountered with a puzzle cats took a long time to solve it. However, when faced...
