Which learning model allows an AI system to develop its own strategies for solving problems or completing tasks?

A) Unsupervised learning
B) Artificial learning
C) Supervised learning
D) Reinforcement learning

Reinforcement Learning

A type of machine learning where an agent learns to make decisions by taking actions in an environment to achieve some rewards.

Unsupervised Learning

A type of machine learning where algorithms learn patterns from untagged data, without any guidance on what outcomes to predict.

Supervised Learning

A type of machine learning where a model is trained on a labeled dataset, which means that each training example is paired with an output label.