Deep Reinforcement Learning (DRL) combines reinforcement learning principles with deep neural networks to create agents that can learn complex behaviors in high-dimensional environments. It leverages the power of deep learning to approximate value functions or policies, enabling breakthroughs in areas such as game playing, robotics, and autonomous systems.