A guide to building reinforcement learning models in PyTorch

PyTorch is one of the most used frameworks in the field of deep learning. We can use this library in every aspect and field data science and machine learning. We can also use it for reinforcement learning. In one of our articles, we have discussed reinforcement learning and the procedure that can be followed for building reinforcement learning models using TensorFlow in detail. In this article, we will discuss how we can build reinforcement learning models using PyTorch. The major points to be discussed in this article are listed below.    Table of contents  The CartPole problem Importing librariesDefining setupStoring memoryDeep Q network Algorithm Training of network Let’s start with understanding the CartPole problem. The CartPole problem I