Reinforcement Learning

Reinforcement learning

Reinforcement learning is a special and more advanced category where the learning system or agent needs to learn to make specific decisions. The agent observes the environment to which it is exposed, selects and performs actions, and gets rewards or penalties in return. Its goal is to choose actions that maximize the reward over time. Based on trial and error and past experience, the system learns the best strategy, or policy, on its own.