Biomimicry in Business Innovation
Reinforcement learning is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards. This process involves trial and error, with the agent receiving feedback in the form of rewards or penalties based on its actions. As a result, reinforcement learning models can adapt and improve over time, making it particularly useful in applications that require complex decision-making.
congrats on reading the definition of Reinforcement Learning. now let's actually learn it.