What is reinforcement learning?

Reinforcement learning is a type of machine learning that involves training a model to make decisions based on trial and error and receiving feedback in the form of rewards or punishments.

The goal is to learn a policy or set of actions that maximize the cumulative reward over time. Reinforcement learning is used in a variety of applications, such as robotics, game playing, and resource management. The key challenge in reinforcement learning is balancing exploration and exploitation, where the model needs to try new actions to discover new strategies