Reinforcement Learning Explained: How AI Learns from Experience
Reinforcement learning is a machine learning method where AI learns by interacting with its environment. It receives feedback in the form of rewards or penalties, guiding the system to make better decisions over time. This technique powers everything from recommendation engines to robotic automation. In HR, it can enhance adaptive systems that evolve based on team needs. Learn how this model shapes intelligent, responsive tools.