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.
Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is…