Unsupervised learning can be considered as the approach to learning from the huge amount of unannotated data and reinforcement learning can be considered as the approach to learning from the very low amount of data. A combination of these learning methods can be considered as unsupervised reinforcement learning which is basically a betterment in reinforcement learning. In this article, we are going to discuss unsupervised Reinforcement learning in detail along with special features and application areas. The major points that we will discuss here are listed below. Unsupervised reinforcement learning is a combination of unsupervised learning and reinforcement learning.
Dec-26-2021, 07:30:15 GMT