AI With Python – Reinforcement Learning

 

AI With Python – Reinforcement Learning :


In this chapter, you will learn in detail about the concepts of reinforcement learning in AI with Python.


Basics of Reinforcement Learning :


This type of learning is used to reinforce or strengthen the network based on critic information. That is, a network being trained under reinforcement learning, receives some feedback from the environment. However, the feedback is evaluative and not instructive as in the case of supervised learning. Based on this feedback, the network performs the adjustments of the weights to obtain better critic information in the future.
This learning process is similar to supervised learning but we might have very little information. The following figure gives the block diagram of reinforcement learning −

Ai with python

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