Deep Reinforcement Learning Applied to NLP: A Brief Survey

Natural Language Processing represents the domain at the intersection of computer science, artificial intelligence, and linguistics. It consists of creating computer programs that can process and understand human language. Recently, many researchers who have investigated and used them to solve different obstacles have focused their emphasis on reinforcement learning and deep learning. By examining the benefits and disadvantages of the research in the nexus of deep learning and reinforcement learning, we examine the potential for using deep reinforcement learning algorithms for natural language processing in this work.