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.
Time Series Analysis is an AI technique that analyses data points collected over time. This approach involves detecting trends, patterns, and seasonality in the…
