Many chatbots are created with regular machine learning natural language processing algorithms, and these focus on immediate responses. A new concept is to create chatbots with the use of deep reinforcement learning. This would mean that the future implications of our immediate responses would be considered to maintain coherence.
In this chapter, you will learn how to apply deep reinforcement learning to natural language processing. Our reward function will be a future-looking function, and you will learn how to think probabilistically through the creation of this function.
