Dueling Double Deep Q Learning with Tensorflow

In this article, we will be going through what is Dueling Double Deep Q Learning and how to implement it in Tenroflow. Dueling Double Deep Q learning is the combination of Dueling Deep Q Learning and Double Deep Q Learning. Let's try to understand what is Dueling Deep Q learning and Double Deep Q Learning. One of the drawbacks of the DQN algorithm is that it overestimates the true rewards; the Q-values think the agent is going to obtain a higher return than what it will obtain in reality. This overestimation is due to the presence of Max of Q value for the next state in the Q learning update equation.