Reinforcement Learning(Part-1): Deep Q Learning using Tensorflow2

In this tutorial, we will be discussing what is Q learning and how to Implement Q learning using Tensorflow2. Q Learning is one of the most popular reinforcement learning algorithms, it is an off-policy reinforcement learning(RL) that finds the best action for the given state. Q learning is considered off-policy reinforcement learning because Q learning is not dependent on current policy. It learns from actions that are outside the current policy, like taking random actions, therefore the policy is not needed. Here Q stands for Quality, which means how useful the given action is for the current state to get some future reward.