Continuous Action Spaces

Continuous action spaces refer to situations where an agent's choices are not limited to specific options but can take on any value within a range. For example, controlling the angle of a robotic arm or adjusting the speed of a vehicle involves selecting any value within a continuous spectrum, rather than choosing from a set list. This approach models real-world decisions more accurately, allowing for nuanced and precise actions. Managing continuous action spaces is often more complex than discrete ones because it involves optimizing over infinitely many possible actions, requiring specialized algorithms for effective decision-making.