C Tech Study

Introduction to Reinforcement Learning Reinforcement learning  comes under machine learning. It is  defined as the act of making the machines perform better according to the environment . Usually, machines use the trial and error method to learn new things. If a robot is introduced into a new environment, it acts according to the user.  So, there are some positive rewards and negative comments. Based on the negativity, it changes its way of performing better. Reinforcement Learning means strengthening or supporting the activity with the required elements or materials. The agent must find the best possible solution from the above diagram to reach the destination. The reinforcement method is a sub-division of machine learning. Usually, we humans design machines by the artificial intelligence method.  These AI machines decide how to react to the environment and agents. If it gets more likely feedback, it is satisfied or changes its way of thinking or action to avoid the unlikely feedba