Reinforcement Learning, Gaming, Deep Learning.
important because many real-world problems, such as autonomous driving, robotics, and financial trading, involve continuous actions. Example Imagine an agent that is learning to control a robotic arm. The agent has two continuous actions: the angle of the arm and the force applied to the arm. The