Autonomous Learning Agents

Autonomous Learning Agents are computer programs designed to learn and adapt on their own, without direct human intervention. They analyze data from their environment, identify patterns, and make decisions based on that information. These agents can improve their performance over time, constantly refining their knowledge and skills. Common examples include recommendation systems that suggest movies or music based on your preferences and self-driving cars that learn to navigate by processing real-time information. Their ability to operate independently makes them valuable in various fields, enhancing efficiency and innovation.