What Is Reinforcement Learning? A Complete Guide
Most machine learning systems learn from studying static data. They ingest labeled datasets, detect patterns and make predictions based on what they have seen. Reinforcement learning (RL) takes a different approach. In reinforcement learning, a system learns by interacting with an environment — taking actions, observing the results and adjusting its behavior based on rewards or penalties. Over time, it discovers strategies that maximize long-term success.