The Role of Reinforcement Learning in Autonomous Systems

Reinforcement learning is a paradigm in machine learning where agents learn to make decisions by receiving feedback from their environment. Understanding how reinforcement learning is applied in autonomous systems, such as self-driving cars or robotics, can shed light on creating adaptive and intelligent Software.