Deep Reinforcement Learning is a subset of Machine Learning that combines Deep Learning and Reinforcement Learning. It involves training AI models to make decisions and take actions based on feedback from their environment. Deep Reinforcement Learning has shown promise in applications such as autonomous vehicles, robotics, and game-playing.
Word Embeddings are a technique in NLP that represent words as continuous vectors in a high-dimensional space. These vectors capture semantic and syntactic relationships…